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Copyright of Electric Drive is the property of Electric Drive Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Chemical Engineering (China) / Huaxue Gongcheng is the property of Hualu Engineering Science & Technology Co Ltd. and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Objective To explore the chaotic dynamic mechanism of the formation and change of smoking behavior. Methods Based on the chaos theory, the chaotic characteristics of smoking-quitting behavior, the dynamic mechanism of chaotic process and chaos control strategy were analyzed by using typical analysis and comparative analysis. Results The formation and change of smoking habit accorded with the typical characteristics of chaos. The individual smoking behavior belief, which is composed of psychological cognition, behavioral motivation, and external environment/situation/occasion, is the aattractorn to induce and control the development, evolution, and disappearance of smoking behavior. The a scenario-motivationn coupling mechanism is the power source of smoking behavior, and multiple scenario-motivation, coupling mechanisms cooperate to dominate the behavior, which gradually increases the frequency of behavior and enters a chaotic state. The stability of chaotic system makes it difficult to quit the habit for a long time. Quitting smoking needs to fundamentally break the chaotic state of behavior and deconstruct multiple a scenario-motivation0 coupling mechanisms in chaotic attractors. Conclusion This study puts fonvard the chaotic dynamic mechanism of the formation and change of smoking habits, which provides a new perspective and train of thought for deeply understanding, explaining, and intervening other health-related behaviors and habits. It provides theoretical support for individual smoking cessation and smoking control policy-making. [ABSTRACT FROM AUTHOR]

Copyright of Piezoelectrics & Acoustooptics is the property of Piezoelectric & Acoustooptic and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Central China Normal University is the property of Huazhong Normal University and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal Of Sichuan University (Natural Sciences Division) / Sichuan Daxue Xuebao-Ziran Kexueban is the property of Editorial Department of Journal of Sichuan University Natural Science Edition and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Railway Science & Engineering is the property of Journal of Railway Science & Engineering Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Geodesy & Geodynamics (1671-5942) is the property of Editorial Board Journal of Geodesy & Geodynamics and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Guangxi Normal University - Natural Science Edition is the property of Gai Kan Bian Wei Hui and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of China Rural Water & Hydropower is the property of China Rural Water & Hydropower Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

For the problem of coal seam gas content prediction, the influencing factors of coal seam gas content were analyzed by taking No.2 coal seam of Chensilou Coal Mine as the research object. Based on the above, a prediction model of coal seam gas content was proposed based on adaptive chaotic seagull optimization algorithm (ACSOA) optimized BP neural network (ACSOA-BP). In the ACSOA, introducing chaos algorithm into SOA algorithm for chaos initialization, and adaptive algorithm and nonlinear convergence factor was proposed in SOA algorithm to improve the optimization ability. And the ACSOA-BP model was applied to the study area to verification. The results show that the relationship is nonlinear between gas content of No.2 coal seam and the influencing factors in Chensilou Coal Mine, and the geological structure is the main controlling factor of gas distribution. Compared with the BP model and the SOA-BP model, the ACSOA-BP model has a higher accuracy and stability.

The working conditions of rotating machinery are more compound and the operating conditions are more severe in the context of intelligent manufacturing, leading to more substantial monitoring and fault diagnosis of the operating conditions of the equipment. Under the variable working conditions, the bearing vibration signal has the characteristics of amplitude variation, pulsating impact interval, non-constant sampling phase and signal noise pollution, etc, which limits the application of traditional rolling bearing fault diagnosis methods. For bearing fault diagnosis technology under variable working conditions, signal demodulation and analysis methods with artificially extracted features such as order tracking, time- frequency analysis, random vibration and chaos theory, deep learning methods represented by convolutional neural networks, self-encoder and deep confidence networks, and transfer learning methods have been developed. This paper reviews the progress in the field of variable condition bearing fault diagnosis in the past five years, introduces several current mainstream variable condition fault diagnosis methods in detail from the perspectives of algorithm principle, algorithm optimization and practical application of algorithms, discusses the advantages and shortcomings of various algorithms and their application scenarios, and points out the direction for the subsequent research. [ABSTRACT FROM AUTHOR]

Copyright of China Rural Water & Hydropower is the property of China Rural Water & Hydropower Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

For the problems of uneven initial population and premature convergence in the basic grey wolf algorithm, grey wolf optimization(GWO) algorithm is improved from three aspects based on chaos theory, and a chaotic grey wolf optimization(CGWO) is proposed for determining the minimum safety factor of the slope. Firstly, an improved Tent chaotic mapping is used to improve the initial population diversity; Secondly, a chaotic perturbation strategy is used to avoid the algorithm from falling into a local optimal; Finally, a parametric chaotic non-linear adjustment mechanism is introduced to balance the global exploitation and local exploration arithmetic of the algorithm. Simulation results of 13 benchmark test functions show that the improved algorithm has a stronger integrated optimization search performance compared with the basic GWO, WOA, PSO and SCA. Selecting the ACADS side slope assessment questions for computation and analysis, the CGWO algorithm shows a high computational accuracy and convergence speed, and can effectively search for the minimum safety factor of complex stratified slopes. Compared with the finite element strength reduction method, the method has the advantages of easy operation and easy setting of the search area. [ABSTRACT FROM AUTHOR]

Aiming at the shortcomings of Harris eagle algorithm (HHO) in solving Job-Shop scheduling problem (JSP), such as poor optimization ability and easy to fall into local optimization, this paper proposed a hybrid Harris eagle algorithm (HHHO). Firstly, the algorithm used chaos theory to increase population diversity in the population initialization stage. Secondly, in the early stage of HHO search, the algorithm used nonlinear energy decline and quantum computing to enhance the global exploration ability of the algorithm. In the later stage of search, the algorithm adopted neighborhood search algorithm to enhance the local development ability of the algorithm. Finally, the algorithm selected FT and LA basic examples to test the performance of the algorithm, and compared with other advanced meta heuristic algorithms to verify the effectiveness and superiority of HHHO in solving JSP. [ABSTRACT FROM AUTHOR]

A new formation mechanism of the low-frequency broadband within gapped nonlinear local resonance structures was revealed based on the nonlinear chaos theory, and a novel concept for designing nonlinear local resonant structures with small gaps was further proposed. Due to the small gaps, the nonlinear chaos phenomenon occurs in the local resonance system, which can change the spectrum structure in vibration noise successfully, and the linear spectral energy greatly weakens and a continuous broad spectrum forms after chaotic motion, to effectively isolate the low-frequency spectrum. Most importantly, the finite element results show that, the nonlinearity of the small gap indeed leads to the low-frequency band-gap within the nonlinear local resonance. Therefore, the new idea for designing the nonlinear local resonance structure makes a new way to the development of local resonant elastic metamaterials, and the formation mechanism of low-frequency band-gap based on the nonlinear chaos theory lays a very important theoretical basis for vibration and noise reduction. [ABSTRACT FROM AUTHOR]

Copyright of Railway Standard Design is the property of Railway Standard Design Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of China Rural Water & Hydropower is the property of China Rural Water & Hydropower Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Control Theory & Applications / Kongzhi Lilun Yu Yinyong is the property of Editorial Department of Control Theory & Applications and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Short-term traffic flow prediction is an important database for traffic management and real-time signal control. In order to improve the accuracy of traffic flow prediction, a Kalman filtering for short-term traffic flow prediction model based on phase space reconstruction is proposed by introducing the concept of chaos theory to solve the problem of chaotic traffic flow time series caused by shortened forecasting period. Firstly, the C-C method is used to reconstruct the phase space of one-dimensional time series, that is to say, the mapping relationship is generated in high-dimensional space to show the intrinsic information of the original sequence. Then, the predictability of traffic flow is judged by the characteristic index of a chaotic system. Finally, according to Kalman filtering theory, the reconstructed phase points are predicted as the initial value of Kalman filtering. The results show that compared with the 6 minute forecast, the relative error of 10 minute traffic flow forecasting is smaller, and it is 4-6%. And the prediction accuracy of a small sample size is within the acceptable range and lower than that of a large sample size. This model can meet the actual needs of ITS. [ABSTRACT FROM AUTHOR]

With the help of discontinuous mapping and tail mapping, the maximum Lyapunov exponent of the system with the above three structures was constructed using Khasminskii transform. For the shape memory alloy beam model with unilateral constraints, the corresponding Lyapunov exponent sequences were analyzed and the bifurcation and chaotic motions of the system were discussed. The results show that the validity of the maximum Lyapunov exponent algorithm is verified by combining the time history diagram and phase diagram. [ABSTRACT FROM AUTHOR]

Due to the existence of observation noise such as multi-path error, the accuracy of deformation prediction results are affected by using the data series of GNSS deformation monitoring. In order to examine the influence of measurement error on the deformation prediction results, the GNSS derived surface displacement time series of Miaodian landslide in Jingyang Area of Shaanxi, and those after noise suppression in combination with chaos theory were analyzed. Firstly, the mutual information method was used to determine the time delay of the surface displacement time series, and the Cao method was used to determine the embedding dimension to obtain the phase space reconstruction parameters. Secondly, the maximum Lyapunov exponent method was used to identify the chaotic characteristics of the two surface displacement time series. Finally, the weighted first-order local prediction method, the largest Lyapunov exponent prediction method, and the BP neural network prediction method were used to predict the landslide surface displacements. The results show that the GNSS landslide surface displacement time series and the time series after noise suppression have chaotic characteristics. The BP neural network prediction method has good prediction performance with an MAE of 0.4 mm and an MRE of 11.9%. After S-transform noise suppression, the MAE and MRE are 0.1 mm and 4.12%, respectively. Compared with the original time series, the prediction performance has been significantly improved after noise suppression. [ABSTRACT FROM AUTHOR]

Parkinson's disease (PD) is a common chronic neurological disease. Because of its unclear etiology, the early diagnosis of is quite difficult. This article proposed a novel model based on improved optimized kernel extreme learning machine (KELM) for the early diagnosis of PD. This paper used chaos theory and Gauss mutation factor to improve salp swarm algorithm (SSA), and designed the intelligent diagnosis model named as ISSA-KELM based on evolution mechanism. The improved SSA (ISSA) used to conduct adjust KELM important parameters and feature subsets selection synchronously. Moreover, the model was processing on multi-thread scheduling on open MP platform, which could achieve the maximum classification accuracy of model. and further improved the computational efficiency. The experimental results show that the classification accuracy of the proposed model is higher than those of the existing methods, the computational efficiency is algo greatly enhanced, it demonstrated the good comprehensive performance. Therefore, it proves that the proposed model has goods prospects for application and it will be helpful for clinicians to make more accurate decision in diagnosis of PD. [ABSTRACT FROM AUTHOR]

To solve the problems of residual current protection device with refusing to operate, maloperation and difficult extracting of electric shock current signal, a chaotic detection method of electric shock current was proposed based on time domain waveform envelope characteristics of chaotic signal. Based on the sensitivity of chaotic system to initial conditions and immunity to noise, a phase detection method was proposed by vector analysis according to chaos theory. According to the difference of output x-time-domain waveform envelope in different states of chaotic system, the standard deviation of x-time-domain waveform extreme point sequence was proposed as index to measure the fluctuation characteristics of waveform envelope, and the critical state of chaotic system could be automatically identified. A method of detecting the amplitude of electric shock current was proposed by vector analysis. The results show that the proposed chaotic criterion can accurately judge the periodic state and chaotic state of the system, and the electric shock current signal can be detected from the total residual current with average error of 4. 64%. [ABSTRACT FROM AUTHOR]

In order to analyze the relationship between the nonlinear characteristics and the performance continuity reliability of rolling bearing vibration, based on chaos theory, a new concept is proposed for continuity relation dimension to characterize the nonlinear characteristics of rolling bearing vibration. Simultaneously， based on the maximum entropy principle and Poisson counting principle, the vibration performance continuity reliability model of the rolling bearing is established, and then the matching sequence of nonlinear characteristics and the vibration performance continuity reliability of the rolling bearing vibration are established. The experimental results show that the evolution of nonlinear characteristics and the vibration performance continuity reliability of rolling bearing vibration are closely related to each other, and the trend of change is consistent and reliability changes can be inferred based on the changing trend of the relation dimension. The proposed method provides a novel idea for the reliability prediction of rolling bearings.

Given the discontinuous structure of vibro-impact system. Newton iteration was used to establish an effective numerical integration strategy. and this numerical integration strategy was applied to the cell mapping algorithm. The effectiveness of this method was verified by an application example of a typical duffing vibro-impact system. and the global coexistence attractor and global catastrophe of the system were further discussed. The research shows that Newton iterative integration method is suitable for vibro-impact system, and the study of periodic motion and chaotic motion of the system is not only effective, but also efficient. The algorithm can quickly lo- cate the collision time and improve the calculation speed. With the change of parameters. there are abundant catastrophe phenomena in the vibro-impact system. including the rout from period directly to chaos. the crisis of multi-periodic solution and chaotic solution. [ABSTRACT FROM AUTHOR]

A chaotic parameter-optimized radial basis function (RBF) forecasting model was proposed. The chaos theory was used to obtain the embedded dimension and delay time of the ENPEMF， and the obtained parameters were used to optimize the RBF neural network. Finally， the trained optimized-RBF was utilized to forecast the strength trend of 14 d ENPEMF data. Numerical simulation results show that the improved RBF model could forecast the Rossler time series well with small error. Applying the improved RBF algorithm to the ENPEMF data before Ms7.0 earthquake in Lushan， it can effectively forecast the ENPEMF intensity trend 14 d before earthquake. The forecasting effect and accuracy are significantly better than that of the traditional RBF algorithm， which is expected to provide support for electromagnetic monitoring and analysis before earthquakes and geological disasters. [ABSTRACT FROM AUTHOR]

Copyright of Electric Power Automation Equipment / Dianli Zidonghua Shebei is the property of Electric Power Automation Equipment Press and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The asymmetry and non-smooth factors of the unilaterally constrained shape memory alloy beam model are discussed to influence the chaotic motion of the system. By studying the smooth Melnikov function and the non-smooth Melnikov function coexisting with the nonlinear vibro-impact system, the necessary conditions for Smale horseshoe chaos generated by the smooth homoclinic and non-smooth homoclinic bifurcations are obtained. The numerical simulation results such as phase diagram, Poincare cross-sectional diagram, bifurcation diagram and maximum Lyapunov exponent are used to verify the chaotic threshold conditions. The results show that: The larger harmonic force is conducive to promoting bifurcation of the system's homoclinic orbit to generate chaos; the interaction of smooth homoclinic bifurcation and non-smooth homoclinic bifurcation can induce the occurrence of chaotic mergers. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Chongqing University of Posts & Telecommunications (Natural Science Edition) is the property of Chongqing University of Posts & Telecommunications and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Control Theory & Applications / Kongzhi Lilun Yu Yinyong is the property of Editorial Department of Control Theory & Applications and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Harbin Institute of Technology. Social Sciences Edition / Haerbin Gongye Daxue Xuebao. Shehui Kexue Ban is the property of Harbin Institute of Technology and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Image & Graphics is the property of Editorial Office of Journal of Image & Graphics and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Control Theory & Applications / Kongzhi Lilun Yu Yinyong is the property of Editorial Department of Control Theory & Applications and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Aiming at the problem of single structure style and less system variable for traditional chaotic system, this paper proposed a chaotic circuit, which had more complex dynamic behaviors, high er sensitivity to variable and stronger anti-interference. With the change of circuit parameters, this pa per discussed the different dynamic behaviors of the system in detail based on the adaptive stability criterion and chaos motion theory. In addition, it constructed the corresponding circuit and observed the system dynamics phenomena by oscilloscope. The dynamics phenomena were in accordance with the simulation results of MATLAB, which further proved the feasibility and flexibility of the circuit. On this basis, it put forward and studied the multi-stage combination synchronization based on this system. By constructing different controllers, this paper realized the multi-stage combination synchronization among the eight systems. The simulation results show th at the synchronization scheme has a good effect on convergence speed and precision. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Guangdong University of Technology is the property of Journal of Guangdong University of Technology and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Some Duffing systems with external excitation and quintic nonlinear restoring forces were considered, the amplitude-frequency response equation for the system was obtained with the multi-scale method, and the amplitude-frequency characteristic curves and their changing rules under different parameter changes were given. At the same time, the singularity theory was applied to get the transition sets and the corresponding topological structures of I he system in 3 cases. Second, the fixed point of the system was determined, and the Hamiltonian function was used to get the heteroclinic orbit of the system, so the threshold of chaos in the Smale horseshoe sense was obtained with the Melnikov method. Then, the dynamic bifurcation and chaotic behavior of the system under external excitation and quintic nonlinear coefficients were given through numerical simulation. It is found that there are nonlinear phenomena such as periodic motion, period doubling motion, quasi periodic motion and chaos. The correctness of the theory was verified with nonlinear methods such as the Lyapunov exponent, the phase diagram and the Poincaré sections. The work provides a theoretical reference for further understanding of the nonlinear characteristics of Duffing systems and their evolution laws. [ABSTRACT FROM AUTHOR]

In order to improve the precision and accuracy of artificial potential field, and avoid the situation of hovering on the end point and being caught in minimum value, a path planning algorithm based on artificial potential algorithm for unmanned aerial vehicle is presented. The traditional artificial potential field method is improved: chaos theory is used to improve artificial potential field calculation formula, which changes the potential field coefficients of each barrier and target point, resulting in the best screened out route. The simulation experimental analysis and result show that the optimized algorithm considers the influence of obstacles to the optimization process, ruling out the situation of hovering on the end point in unmanned aerial vehicle route planning, and through iterative method, the algorithm has the ability to adapt to different maps. The improved artificial potential field method is better than the traditional artificial potential field method in speed and precision aspects.

Copyright of Journal of Dalian University of Technology / Dalian Ligong Daxue Xuebao is the property of Journal of Dalian University of Technology and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

An optimization method for spatial configuration of aircraft swarm based on self-adaptive Tent chaos search grey wolf optimizer is proposed for the optimal spatial configuration of aircraft swarm in the coordinated attack of fighters and unmanned aerial vehicles. A mathematical model of cooperative attack zone of air-to-air missiles is established, and a calculating method for cooperative attack zone under the condition of any aircraft swarm spatial configuration is proposed. The self-adaptive Tent chaos search is applied in grey wolf optimizer to improve the performance of the algorithm, thus avoiding the local optimum and the slow search speed. The size of cooperative attack zone is taken as the target function, and the spatial configuration of aircraft swarm is optimized by using the improved algorithm. The simulated results show that the improved algorithm can be used quickly to obtain the optimal spatial configuration with the largest cooperative attack zone and the minimal threat, and the cooperative attack zone of aircraft swarm is significantly larger than the sum of single aircraft attack zone under the optimal spatial configuration. [ABSTRACT FROM AUTHOR]

The modeling and synchronization control experiments of the Lorenz chaotic system are carried out by using Matlab/Simulink software. According to the differential equations of the Lorenz system, four methods are used to model and simulate respectively, and these methods are analyzed. By using the state linear feedback control, the synchronous control experiment of the Lorenz chaotic system is designed to realize the synchronization control of the two Lorenz chaotic systems. The simulation experiment can deepen the students’ understanding of the chaotic system modeling and synchronization control, and provide a new way for chaos theory and experimental teaching. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Harbin Institute of Technology. Social Sciences Edition / Haerbin Gongye Daxue Xuebao. Shehui Kexue Ban is the property of Harbin Institute of Technology and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Acta Automatica Sinica is the property of Chinese Academy of Sciences, Institute of Automation and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Computer Measurement & Control is the property of Magazine Agency of Computer Measurement & Control and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Compressive sensing is a new sampling theory which makes use of the sparsity of signals to recover the high-dimension signal from very few measurements. Unfortunately,most of the existing measurement matrices have high correlation between elements,which can not guarantee exact recovery and has greatly restricted their application prospects. Based on this,this paper proposed a novel Chebyshev chaotic measurement sensing matrix based on sampling columnization( SC3M). The sampling columnization and normalization guaranteed the low correlation in column of SC3 M,which optimized the recovery effect. Moreover,it proved that the proposed SC3 M sensing matrix satisfies the RIP with overwhelming probability from the Johnson-Lindenstrauss lemma. Numerical simulations show that the SC3 M is sufficient to guarantee exact recovery,which shows better effect compared to other popular measurement matrixes such as the fully random matrix,Bernoulli matrix and Gaussian sensing matrix. [ABSTRACT FROM AUTHOR]

A hybrid adaptive genetic algorithm is proposed for the task scheduling of phased array radar. An optimal scheduling model for phased array radar is established. The performance and efficiency of the algorithm are improved by optimizing the initial population by the chaos theory, adopting the selection strategy of elite reservation and mixed ranking, and designing the adaptive crossover and mutation operators. A heuristic pulse interleaving algorithm is presented based on the adaptive genetic algorithm. It could utilize the waiting period in a task to execute the transmitting period or receiving period of other task. The simulated results demonstrate that the proposed algorithm provides better results and search solutions more quickly than the genetic algorithm. Moreover, compared with the heuristic scheduling algorithm , the proposed algorithm improves the scheduling success ratio, time utilization ratio and high value ratio, and decreases the average time shift ratio efficiently. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Hebei University of Science & Technology is the property of Hebei University of Science & Technology, Journal of Hebei University of Science & Technology and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Chongqing University of Posts & Telecommunications (Natural Science Edition) is the property of Chongqing University of Posts & Telecommunications and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Transactions of Beijing Institute of Technology is the property of Beijing University of Technology and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

There are advantages in analysis of the intrinsic chaotic component in the fitting residuals in displacement monitoring statistics as well as in traditional algorithms for mining dam monitoring information. This paper therefore combines the characteristics of the conventional optimization algorithm, based on using frog leaping algorithm (SFLA) to determine the optimum weight in the sub-model, to establish a dam displacement combination monitoring model based on SFLA. Taking the chaotic characteristics of fit residuals in the statistical analysis into account through using phase space reconstruction and chaos theory,we analyzed displacement residuals and predicted values, and superimposed the forecast residual term with SFLA model predictions and developed leapfrog algorithm combination forecasting methods fusing chaos residuals, and a dam displacement leapfrog algorithm implementation process that considers of the chaotic residuals. Examples show that the forecasting ability of this model provides a new, improved approach to the analysis of dam deformation. [ABSTRACT FROM AUTHOR]