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This paper discusses the robust H ∞ control problem for discrete-time switched interval system. The multiple Lyapunov function method is combined with the Finsler's Lemma to generate several new results which provide extra degree of freedom for stability analysis and control synthesis. A new sufficient condition is obtained for the unforced discrete-time switched interval system, then, based on the above discussion, the robust H ∞ control synthesis via state feedback is studied for the closed-loop switched interval system. Finally, two simulation examples are given to illustrate the validity of the results.

Based on the calculation and analysis of the aged population and the death rate at different ages for the counties and districts in ShangHai Coastal Zone, this paper presents the trend of rural aging population by the method of improved Leslie equation. The conclusion is: the rural population in coastal zone is increasing, this situation will be more serious in the future, and this kind of influence may last for 20 or 30 years. In the end, the paper analyzes the origin of this phenomena, and points out that major reason is the development of the second and the third industry, the application of high-tech and the low efficiency and low income of agriculture.

In this paper, the decade data of meteorological satellite and surface meteorological observation of China have been analysed. The relationship between cloud and radiation has been studied. A set of empirical formulae of the ralationships between the albedo and cloud amount, the outgoing longwave radiation and cloud amount in Chinese different districts and different seasons has been deduced. They express simply the response of both planet reflectivity and earth-atmosphere outgoing longwave radiation to the change of cloud amount. So that the sensitivity of net radiation of the earth-atmosphere system to the change of cloud amount and the ratio of cloud reflective effect to greenhouse effect can be estimated. In this paper, the radiative process of the earth-atmosphere system, cloud and radiative balance and its effect on climate have been synthetically studied.

The delay-dependent robust exponential stabilization and L2-gain analysis of the uncertain switched systems with time-varying delay by memoryless state-feedback controllers are studied. The delay-dependent sufficient condition of robust exponential stabilization and satisfying relevant weighting L2-gain for switched systems with time-varying delay is presented by using the average dwell time method and free weighting matrix method. The design method of the switching law is also given. The sufficient condition is obtained by using the less numbers of free matrices, and it can be solved by linear matrix inequalities. The result is proved to be valid by the example at last.

The robust stabilization for a class of uncertain switched linear systems with time-delay is studied. By using average dwell-time and matrix decomposition methods, the sufficient condition that makes the switched systems exponentially stable and the design method of switching law are obtained. The result can be expressed in the form of LMI, which can be evaluated easily. The simulation shows the validity of the result.

Interpolation is the main bottleneck in AVS real-time high definition video encoder for its high memory bandwidth and large calculation complexity caused by the new coding features of variable block size and 4-tap filter. In this paper, an efficient VLSI architecture of interpolation supporting AVS Baseline@L4 is presented. Vertical redundant data reuse, horizontal redundant data reuse and sub-pixel data reuse schemes are presented to reduce memory bandwidth and processing cycle. The separated 1-D interpolation filters are used to improve throughput and hardware utilization. The proposed design is implemented on the Vertex4 XC4VLX200 field programmable gate array with operating frequency of 150 MHz and can support 1080p (1920 times 1080) 30 fps AVS real-time encoder. It is a useful intellectual property design for real-time high definition video application.

Based on the analyzing of CAD integrated technology PDM product and the present state of PKM research, the concept of CAD/PDM/PKM integrated system based on knowledge was put forward The CAD/PDM/PKM integrated system had been established by product modeling, reasoning resolve, knowledge base, PDM/PKM integrated and knowledge validity appraise technology. It realizes knowledge reused and information shared, and it provides a more efficient accurate and practical tool for the digital design and manufacturing.

Aiming at improving the reusability of existing experience and knowledge in product design, general design theory and key techniques such as knowledge representation and knowledge reasoning in knowledge engineering domain are investigated. Adopting object-oriented design model to represent design knowledge and case-based design method to make knowledge reasoning, product design method based on knowledge engineering is proposed. Finally the architecture of digital design system is built, and crane intelligent design system is developed based on the architecture, which can realize crane design of specific parameters for customization. The application examples verify feasibility and effectiveness of the technique.

In order to obtain bio-impedance information at different frequency simultaneously, the bio-impedance measurement method in the condition of mixing frequency excitation is studied in this paper. The influence of energy leakage and fence effect of DFT to sine signal detection is analyzed, according to which the bio-impedance measurement technology based on DFT with virtual reference vector is presented. Finally, compensation of virtual reference vector is certificated by emulations and experiments. From the experimental results, the dynamic reaction of respiratory and cardiac activity in different frequency can be manifested according to the human impedance measurement.

We aimed to evaluate the diagnostic value of a positron emission tomography (PET)-measured heterogeneity in longitudinal myocardial blood flow (MBF) during cold pressor testing (CPT) and global MBF response to CPT from rest (DeltaMBF) for identification of coronary vasomotor dysfunction.In 35 patients CPT-induced alterations in epicardial luminal area were determined with quantitative angiography as the reference. MBF was assessed over the whole left ventricle as global MBF and regionally in the mid and mid-distal myocardium as MBF difference or MBF heterogeneity with nitrogen-13 ammonia and PET. The sensitivity and specificity of a longitudinal MBF difference during CPT in the identification of epicardial vasomotor dysfunction were significantly higher than the global DeltaMBF to CPT (88% vs 79% and 82% vs 64%, respectively; P.05). Combining both parameters resulted in an optimal sensitivity of 100% at the expense of an intermediate specificity of 73%. The diagnostic accuracy was higher for the combined analysis than that for the MBF difference alone and global DeltaMBF alone (91% vs 86% and 74%, respectively; P.05).The combined evaluation of a CPT-induced heterogeneity in longitudinal MBF and the change in global MBF from rest may emerge as a new promising analytic approach to further optimize the identification and characterization of coronary vasomotor dysfunction.

The stability for a class of linear switched systems with time-delay is studied. By using complete condition, matrix decomposition and LMI methods, the sufficient condition that makes the switched systems asymptotically stable and the design method of switching law are obtained, and this result can be expressed in the form of LMI, which can be evaluated easily. The simulation shows the validity of the result.

To forecast real estate prices more accurate, we combined fuzzy reasoning technique with neural network to construct a fuzzy neural network (FNN), which has ability in fuzzy reasoning and learning. In our research, we first use our relative real estate sample data to train the fuzzy neural network. Thereafter, we can use the exact test data to forecast real estate price. Compared with the traditional network, FNN obtained a much better result. Thus, we give a more accurate and effective method to forecast real estate prices.