21 results on '"Wei, Yunliang"'
Search Results
2. H∞ control for time-delay systems with randomly occurring nonlinearities subject to sensor saturations, missing measurements and channel fadings.
- Author
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Ji, Huihui, Zhang, He, Li, Chenlong, Senping, Tian, Lu, Junwei, and Wei, Yunliang
- Subjects
FEEDBACK control systems ,RADIO transmitter fading ,TIME delay systems ,SENSOR networks ,NONLINEAR theories ,BINOMIAL distribution - Abstract
The H ∞ control problem for a class of time-delay systems with randomly occurring nonlinearities (RONs) is addressed in this paper. Sensor saturations, missing measurements and channel fadings are governed by random variables obeying the Bernoulli distributions. The measurement output is subject to both data missing and randomly occurring sensor saturations (ROSSs) described by sector-nonlinearities as well as the channel fadings caused typically in wireless communication. The aim of the addressed problem is to design a full-order dynamic output-feedback controller such that the closed-loop system is exponentially mean-square stable and satisfies the prescribed H ∞ performance constraint. Sufficient conditions are presented by resorting to intensive stochastic analysis and matrix inequality techniques, which not only guarantee the existence of the desired controller for all possible time-delays, RONs, missing measurements and ROSSs but also lead to the explicit expressions of such controllers. Finally, a numerical example is given to demonstrate the applicability of the proposed control scheme. [ABSTRACT FROM AUTHOR]
- Published
- 2018
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3. Composite anti-disturbance control for uncertain Markovian jump systems with actuator saturation based disturbance observer and adaptive neural network.
- Author
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Wei, Yunliang, Liu, Guo-Ping, Zong, Guangdeng, and Shen, Hao
- Subjects
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ROBUST control , *ACTUATORS , *CLOSED loop systems , *ADAPTIVE control systems , *JUMPING , *COMPUTER simulation - Abstract
This paper studies the problem of composite control for a class of uncertain Markovian jump systems (MJSs) with partial known transition rates, multiple disturbances and actuator saturation. Compared with the existing results, a novel robust composite control scheme is put forward by virtue of adaptive neural network technique. For MJSs, the partial unknown information on transition rates and the actuator saturation influence the design of disturbance observer and the robust H ∞ controller. Firstly, without taking account of external disturbances, the network reconstruction error and saturation, a novel robust adaptive control strategy is established to ensure that all the signals of the closed-loop system are asymptotically bounded in mean square. Secondly, the solvability condition for ensuring the robust H ∞ performance is given by using a modified adaptive law, where the saturation is treated as a disturbance-like signal. Finally, the simulations for a numerical example and an application example are performed to validate the effectiveness of the proposed results. [ABSTRACT FROM AUTHOR]
- Published
- 2019
- Full Text
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4. Robust output feedback control of uncertain time-delay systems with actuator saturation and disturbances.
- Author
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Wei, Yunliang, Zheng, Wei Xing, and Xu, Shengyuan
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TIME delay systems , *ACTUATORS , *CONTINUOUS time systems , *ROBUST control , *FEEDBACK control systems , *UNCERTAINTY (Information theory) - Abstract
This paper investigates the problem of robust output feedback control of uncertain continuous-time time-delay systems with both external disturbances and saturating actuators. Both the system uncertainties and the external disturbances are assumed to be time-varying and bounded, and the states of the system under consideration are not available but detectable. First, in the absence of external disturbances, some delay-dependent conditions for designing observer-based output feedback controller are derived which ensure that the system without perturbations on its input matrices can be stabilized together with the domain of attraction. To obtain a maximal estimate of the domain of attraction, an iterative optimization algorithm is proposed. When the system input matrices are subject to perturbations, new stabilization conditions are obtained to adjust the gain of the observer on the basis of the above-mentioned controller design rules. Second, in the presence of external disturbances, the robust observer-based output feedback controller is designed to guarantee that the corresponding closed-loop system converges uniformly exponentially to a ball with an initial admissible domain. Finally, numerical results are given to demonstrate the effectiveness of the proposed method. [ABSTRACT FROM AUTHOR]
- Published
- 2015
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5. Composite control for switched impulsive time-delay systems subject to actuator saturation and multiple disturbances.
- Author
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Wei, Yunliang and Liu, Guo-Ping
- Abstract
This paper focuses on the composite control problem for a class of uncertain switched impulsive systems with time-varying time delay, actuator saturation and multiple disturbances which are matched and mismatched with continuous control inputs. The system under consideration involves parameter uncertainties and nonlinear uncertainties, and the actuators of both continuous control inputs and impulsive control inputs are considered to be limited by saturation. Actuator saturation brings great difficulties and challenges to implement composite control based on disturbance compensation, especially when the system is with matched disturbances. A novel switching composite controller and a switching state feedback controller are constructed respectively such that the performance requirement of anti-disturbance control for the system is achieved, the former of which can realize rejection of the matched disturbances simultaneously. Based on the treatment of the saturation as polytopic differential inclusion, the design conditions of the controllers are developed to guarantee the locally robustly asymptotic stability and robust H ∞ disturbance attenuation of the closed-loop system with an estimation of the domain of attraction. Finally, a simulation example is performed to validate the feasibility of our results. [ABSTRACT FROM AUTHOR]
- Published
- 2020
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6. Passivity-based state synchronization for semi-Markov jump coupled chaotic neural networks with randomly occurring time delays.
- Author
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Hu, Xiaohui, Xia, Jianwei, Wei, Yunliang, Meng, Bo, and Shen, Hao
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ARTIFICIAL neural networks , *SYNCHRONIZATION , *CHAOS synchronization , *SWITCHING systems (Telecommunication) , *RANDOM variables - Abstract
In this work, the problem of passivity-based synchronization for coupled chaotic neural networks with randomly occurring time delays is addressed. The topology switching of the networks is subject to the semi-Markov process. Some Bernoulli random variables are used to simulate the randomly occurring phenomena of the aforesaid networks. Furthermore, the main objective is to develop the synchronization criteria such that the considered networks can achieve global stochastic synchronization and conform to the passive performance index. Subsequently, by using some relatively advantageous inequalities and reasonable matrix transformation techniques, some available synchronization criteria are derived. Ultimately, an example is presented to illustrate the applicability and availability of the method proposed. [ABSTRACT FROM AUTHOR]
- Published
- 2019
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7. Further results on dissipativity and stability analysis of Markov jump generalized neural networks with time-varying interval delays.
- Author
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Jiao, Shiyu, Shen, Hao, Wei, Yunliang, Huang, Xia, and Wang, Zhen
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LYAPUNOV functions , *INTEGRAL inequalities , *STOCHASTIC analysis , *MARKOV processes , *ARTIFICIAL neural networks - Abstract
This work investigates the dissipativity and stability analysis problems for Markov jump generalized neural networks subject to time-varying interval delays. The aim of the present study is to determine whether the new dissipativity and stability criteria with less conservatism could be established for Markov jump generalized delayed neural networks or not. In this connection, a more general dissipative property index inequality is firstly introduced. On basis of fully considering mode-dependent matrices in the Lyapunov–Krasovskii functional, some advantageous negative terms ignored in some existing works are taken into account. By employing some novel integral inequalities and stochastic analysis theory, some available less conservative criteria are developed. Three compared examples are finally shown to explain the reduced conservatism and superiority of the presented criteria for Markov jump generalized delayed neural networks. [ABSTRACT FROM AUTHOR]
- Published
- 2018
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8. Decentralized global stabilization for stochastic high-order feedforward nonlinear systems with time-varying delays.
- Author
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Jiao, Ticao, Xu, Shengyuan, Wei, Yunliang, Chu, Yuming, and Zou, Yun
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TIME delay systems , *NONLINEAR systems , *FEEDBACK control systems , *GLOBAL asymptotic stability , *LYAPUNOV functions , *SIMULATION methods & models - Abstract
This paper studies the problem of decentralized stabilization for a class of large-scale stochastic high-order time-delay feedforward nonlinear systems. A series of delay-independent state feedback controllers is constructed, which is based on the approach of adding one power integrator. The stochastically global asymptotic stability (GAS) of the closed-loop system under the above-mentioned controllers is proved by Lyapunov–Krasovskii theorem and homogeneous domination approach. A simulation example is given to illustrate the effectiveness of the results of this paper. [ABSTRACT FROM AUTHOR]
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- 2014
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9. Finite-time synchronization for complex dynamic networks with semi-Markov switching topologies: An H∞ event-triggered control scheme.
- Author
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Wang, Jing, Ru, Tingting, Xia, Jianwei, Wei, Yunliang, and Wang, Zhen
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SWITCHING systems (Telecommunication) , *ELECTRIC network topology , *STOCHASTIC programming , *SYNCHRONIZATION , *STOCHASTIC analysis , *TOPOLOGY - Abstract
Abstract For complex dynamic networks subject to switching topologies, an H ∞ event-triggered control scheme is developed to deal with the finite-time synchronization problem. A semi-Markov process is employed to govern the switching of the networks topologies. The purpose focuses on designing a controller via the event-triggered scheme, which guarantees that the resulting error networks are finite-time bounded with a prescribed level of the H ∞ performance. By utilizing the stochastic analysis theory and finite-time synchronization concept, some sufficient conditions are deduced to determine whether the desired controller will exist or not for the complex dynamic networks. Eventually, an illustrated example is proposed to explain the validity and practicability of this method. [ABSTRACT FROM AUTHOR]
- Published
- 2019
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10. Mixed [formula omitted] state estimation for switched genetic regulatory networks subject to packet dropouts: A persistent dwell-time switching mechanism.
- Author
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Huang, Zhengguo, Xia, Jianwei, Wang, Jing, Wei, Yunliang, Wang, Zhen, and Wang, Jian
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NONLINEAR difference equations , *GENE regulatory networks , *SWITCHING theory , *IMMUNOGLOBULIN class switching , *EXPONENTIAL stability - Abstract
Abstract In this work, a kind of switched gene regulatory networks with packet dropout and uncertainties are constructed by switched coupled nonlinear difference equations. In comparison, a more comprehensive switching regulation, persistent dwell-time, is employed to it. The aim is to construct a mixed mode-dependent and mode-independent estimator for the before-mentioned gene regulatory networks with a view to the loss of system modal information. Thereafter, the augmented system is established. After that, the sufficient conditions of the exponential stability and mixed H ∞ / l 2 − l ∞ performance for the augmented system are deduced by the switching Lyapunov theory. Finally, a numerical example is employed to elucidate the validity of the estimator gains decoupled by the congruent transformation. [ABSTRACT FROM AUTHOR]
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- 2019
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11. Stability analysis and control synthesis for positive semi-Markov jump systems with time-varying delay.
- Author
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Li, Lei, Qi, Wenhai, Chen, Xiaoming, Kao, Yonggui, Gao, Xianwen, and Wei, Yunliang
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TIME-varying systems , *STABILITY theory , *MARKOV processes , *LINEAR programming , *CLOSED loop systems - Abstract
This paper deals with stability analysis and control synthesis for positive semi-Markov jump systems (S-MJSs) with time-varying delay, in which the stochastic semi-Markov process related to nonexponential distribution is considered. The main motivation for this paper is that the positive condition sometimes needs to be considered in S-MJSs and the controller design methods in the existing have some conservation. To deal with these problems, the weak infinitesimal operator is firstly derived from the point of view of probability distribution under the constraint of positive condition. Then, some sufficient conditions for stochastic stability of positive S-MJSs are established by implying the linear Lyapunov–Krasovskii functional depending on the bound of time-varying delay. Furthermore, an improved stabilizing controller is designed via decomposing the controller gain matrix such that the resulting closed-loop system is positive and stochastically stable in standard linear programming. The advantages of the new framework lie in the following facts: (1) the weak infinitesimal operator is derived for S-MJSs with time-varying delay under the constraint of positive condition and (2) the less conservative stabilizing controller is designed to achieve the desired control performance. Finally, three examples, one of which is the virus mutation treatment model, are given to demonstrate the validity of the main results. [ABSTRACT FROM AUTHOR]
- Published
- 2018
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12. New insight into reachable set estimation for uncertain singular time-delay systems.
- Author
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Liu, Guobao, Xu, Shengyuan, Qi, Zhidong, Wei, Yunliang, and Zhang, Zhengqiang
- Subjects
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CLOSED loop systems , *TIME delay systems , *MATRIX inequalities , *ELLIPSOIDS , *ACTUATORS - Abstract
This paper investigates the problem of reachable set estimation for a class of uncertain singular systems with time-varying delays from a new point of view. Our consideration is centered on the design of a proportional-derivative state feedback controller (PDSFC) such that the considered singular system is robustly normalizable and all the states of the closed-loop system can be contained by a bounded set under zero initial conditions. First, a nominal singular time-delay system is considered and sufficient conditions are obtained in terms of matrix inequalities for the existence of a PDSFC and an ellipsoid. In this case, the considered system is guaranteed to be normalizable and the reachable set of the closed-loop systems is contained by the ellipsoid. Then, the result is extended to the case of singular time-delay systems with polytopic uncertainties and relaxed conditions are derived by introducing some weighting matrix variables. Furthermore, based on the obtained results, the reachable set of the considered closed-loop singular system can be contained in a prescribed ellipsoid. Finally, the effectiveness of our results are demonstrated by two numerical examples. [ABSTRACT FROM AUTHOR]
- Published
- 2018
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13. Controller design for time-delay system with stochastic disturbance and actuator saturation via a new criterion.
- Author
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Qi, Wenhai, Kao, Yonggui, Gao, Xianwen, and Wei, Yunliang
- Subjects
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TIME delay systems , *SYSTEM analysis , *LINEAR matrix inequalities , *CHEMICAL engineering , *CONTROL theory (Engineering) - Abstract
This paper deals with the problem of controller design for time-delay system with stochastic disturbance and actuator saturation. By use of more appropriate Lyapunov–Krasovskii functional (LKF) and a new criterion for the domain of attraction, less conservative conditions for stochastic stability are proposed. Then, the difficulties of the domain of attraction confronted in system analysis and synthesis can be overcome. These sufficient conditions are derived in terms of linear matrix inequality (LMI). Finally, two practical examples demonstrate the validity of the given results. [ABSTRACT FROM AUTHOR]
- Published
- 2018
- Full Text
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14. Adaptive finite-time flocking for uncertain nonlinear multi-agent systems with connectivity preservation.
- Author
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Li, Ping, Xu, Shengyuan, Chen, Weimin, Wei, Yunliang, and Zhang, Zhengqiang
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MULTIAGENT systems , *INTELLIGENT agents , *LYAPUNOV functions , *ARTIFICIAL neural networks , *MACHINE learning - Abstract
In this paper, we investigate the adaptive finite-time flocking problem for a class of second-order nonlinear multi-agent systems with parameter uncertainties. The states of all agents can achieve finite-time consensus by using the proposed control algorithm under an undirected graph. It is shown that connectivity preservation is guaranteed by choosing an appropriate Lyapunov potential function. A numerical example is presented to illustrate the effectiveness of the proposed consensus protocol. [ABSTRACT FROM AUTHOR]
- Published
- 2018
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15. A connectivity preserving rendezvous for unicycle agents with heterogenous input disturbances.
- Author
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Li, Ping, Xu, Shengyuan, Chen, Weimin, Wei, Yunliang, and Zhang, Zhengqiang
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ALGORITHMS , *TOPOLOGY , *MULTIAGENT systems , *ALGEBRA , *MATHEMATICS - Abstract
This paper studies the rendezvous strategy for a group of unicycle systems with connectivity preservation and collision avoidance. Based on the method of potential functions, a novel distributed control algorithm is proposed for all unicycles. By tuning the design parameters, the unicycles finally aggregate so that the average of the distances is bounded by a pre-specified positive number. It is proved that the connectivity of a minimum spanning tree in the initial topology is guaranteed. The result is then extended to multiple unicycles with heterogenous input disturbances. Potential function is further modified to handle the disturbances. Illustrative example is presented to show the improvements and effectiveness of the proposed controller. [ABSTRACT FROM AUTHOR]
- Published
- 2018
- Full Text
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16. Adaptive finite-time control for stochastic nonlinear systems subject to unknown covariance noise.
- Author
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Min, Huifang, Xu, Shengyuan, Li, Yongmin, Chu, Yuming, Wei, Yunliang, and Zhang, Zhengqiang
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ANALYSIS of covariance , *CLOSED loop systems , *NONLINEAR differential equations , *LYAPUNOV functions , *STABILITY theory - Abstract
This paper is devoted to the adaptive finite-time control for a class of stochastic nonlinear systems driven by the noise of covariance. The traditional growth conditions assumed on the drift and diffusion terms are removed through a technical lemma, and the negative effect generated by unknown covariance noise is compensated by combining adaptive control technique with backstepping recursive design. Then, without imposing any growth assumptions, a smooth adaptive state-feedback controller is skillfully designed and analyzed with the help of the adding a power integrator method and stochastic backstepping technique. Distinctive from the global stability in probability or asymptotic stability in probability obtained in related work, the proposed design algorithm can guarantee the solution of the closed-loop system to be finite-time stable in probability. Finally, a stochastic simple pendulum system is skillfully constructed to demonstrate the effectiveness of the proposed control scheme. [ABSTRACT FROM AUTHOR]
- Published
- 2018
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17. Distributed filtering for time-varying state-saturated systems with packet disorders: An event-triggered case.
- Author
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Li, Jiaxing, Hu, Jun, Cheng, Jun, Wei, Yunliang, and Yu, Hui
- Subjects
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TIME-varying systems , *DISTRIBUTION (Probability theory) , *RANDOM variables , *COVARIANCE matrices , *RANDOM sets - Abstract
• A novel distributed filtering compensation algorithm is presented in terms of the available transmitted data. • The expression form of minimized upper bound of filtering error covariance matrix and the desired filter gain are established. • The filtering algorithm performances are analyzed by providing the theoretical proofs regarding the boundedness. This paper investigates the distributed filtering (DF) issue for a class of time-varying state-saturated systems with packet disorders (PDs) via the event-triggered communication mechanism (ETCM). The random transmission delays, which can be characterized by a set of random variables obeying certain probability distribution, cause the phenomenon of PDs. In addition, for the sake of decreasing the consumption of network resources, the ETCM is used to arrange the data transmission. On the basis of the measurable data information, a novel distributed filter is constructed that can ensure the existence of the upper bound matrix (UBM) regarding the filtering error (FE) covariance and then the trace of the presented UBM is minimized via constructing the suitable filter gain. Afterwards, the boundedness analysis of FE dynamics is provided to evaluate the filtering algorithm performance. Finally, the validity of the designed DF scheme is illustrated through a numerical experiment. [ABSTRACT FROM AUTHOR]
- Published
- 2022
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18. Non-fragile observer-based [formula omitted] finite-time sliding mode control.
- Author
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Zhang, Lihua, Zhou, Yaoyao, Qi, Wenhai, Cao, Jinde, Cheng, Jun, Wei, Yunliang, Yan, Xiaoyu, and Li, Shaowu
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SLIDING mode control , *LINEAR matrix inequalities , *UNCERTAIN systems , *RESISTOR-inductor-capacitor circuits - Abstract
H ∞ finite-time control for uncertain system with the unmeasurable state via the sliding mode control (SMC) approach is discussed in this article. Our attention is to design an appropriate finite-time SMC law to attenuate the influences of parametrical uncertainty and external disturbance. First, an appropriate non-fragile observer-based finite-time SMC law is designed such that the state trajectories can arrive at the specified sliding surface during the finite-time interval. Then, finite-time boundedness (FTBs) is well implemented by partitioning strategy and sufficient conditions are given to realize FTBs for the augment system with H ∞ performance. Next, the controller gain and observer gain are obtained by solving the corresponding linear matrix inequalities (LMIs). Finally, a RLC series circuit shows the effectiveness of the proposed SMC approach. [ABSTRACT FROM AUTHOR]
- Published
- 2020
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19. SMC for semi-Markov jump T-S fuzzy systems with time delay.
- Author
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Gao, Meng, Zhang, Lihua, Qi, Wenhai, Cao, Jinde, Cheng, Jun, Kao, Yonggui, Wei, Yunliang, and Yan, Xiaoyu
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TIME delay systems , *FUZZY systems , *SLIDING mode control , *ROBUST control , *CLOSED loop systems - Abstract
This paper investigates the issue of robust stabilization for delayed semi-Markov jump T-S fuzzy systems via sliding mode control (SMC). In order to reduce some conservativeness, an integral sliding mode surface (ISMS) is designed without assumption that the input matrices are plat-rule independent with full column rank, which is one of the critical factors for system performance. Based on Lyapunov functional theory, sufficient condition is provided for stochastic stability of the closed-loop system, and then extended to the case where the input matrices are independent of plant-rule. In addition, a fuzzy SMC controller is established to guarantee the finite time reachability of the predetermined fuzzy manifold. Finally, the superiorities of the proposed method are validated by a single-link robot arm model. [ABSTRACT FROM AUTHOR]
- Published
- 2020
- Full Text
- View/download PDF
20. Stability for delayed switched systems with Markov jump parameters and generally incomplete transition rates.
- Author
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Qi, Wenhai, Yang, Xu, Gao, Xianwen, Cheng, Jun, Kao, Yonggui, and Wei, Yunliang
- Subjects
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ECONOMIC models , *EXPONENTIAL stability , *ECONOMIC systems , *STOCHASTIC analysis , *RATES - Abstract
Exponential mean-square stability for delayed switched systems with Markov jump parameters and generally incomplete transition rates is discussed. The switching dynamics among the operation modes are considered to be governed by a high level with average dwell time switching (ADTS) and a low level with stochastic Markov switching. Many practical systems such as general economic model subject to unpredictable structural changes can be described by switching Markov jump systems (SMJSs) with generally incomplete transition rates. By resorting to average dwell time switching approach, sufficient conditions are proposed to ensure the underlying system exponentially mean-square stable. Finally, the theoretical results are applied to a general economic model to demonstrate the effectiveness, applicability and superiority of the main results. [ABSTRACT FROM AUTHOR]
- Published
- 2020
- Full Text
- View/download PDF
21. Disturbance-observer-based control for semi-Markovian jump systems with generally uncertain transition rate and saturation nonlinearity.
- Author
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Xu, Tianbo, Gao, Xianwen, Qi, Wenhai, and Wei, Yunliang
- Subjects
- *
UNCERTAIN systems , *JUMPING - Abstract
This paper deals with the problem of disturbance-observer-based control (DOBC) for semi-Markovian jump systems (S-MJSs) with generally uncertain transition rate (TR) and saturation nonlinearity. Unlike the existing theories, the proposed method considers the external disturbance and saturation nonlinearity in S-MJSs with more general TR. First of all, to study this DOBC problem, the sufficient condition for stochastic stability of the system is derived by the use of Lyapunov–Krasovskii functional. Then, the design methods of the anti-disturbance controller and the disturbance observer are proposed based on the given stability condition of the closed-loop system. Furthermore, the maximum domain of attraction is estimated by solving an optimization iterative algorithm. Finally, two numerical examples are given to prove the correctness of the proposed results. [ABSTRACT FROM AUTHOR]
- Published
- 2019
- Full Text
- View/download PDF
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