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第二十九届中国控制会议

作者： SHANG Weike,KANG Yu,WANG Xin,XI Hongsheng Department of Automation,University of Science and Technology of China,Hefei 230027,Anhui,P.R.China

In this note,A class of discrete-time Markovian jumping systems with unknown delays and actuators saturation is *** Lyapunov methods,sufficient conditions under which the investigated system is locally stochastic stable are ***,an estimate of the domain of attraction in mean square is provided for the ***,we design the mode-dependent memoryless state feedback controller to expand the domain of ***,numerical examples are given to verify the effectiveness of the methods.

关键词： Markovian Jumping Systems discrete-time time Delays Actuators Saturation Domain of Attraction in Mean Square

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Stochastic Stability of discrete-time Markovian Jump Antilinear Systems

Stochastic Stability of Discrete-time Markovian Jump Antilin...

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第26届中国控制与决策会议

作者： Yang-Yang Qian Ai-Guo Wu Wanquan Liu Shenzhen Graduate School Harbin Institute of Technology Center for Control Theory and Guidance Technology Harbin Institute of Technology Department of Computing Curtin University

In this paper, we investigate the discrete-time antilinear systems with Markovian jumping parameters. The concept of stochastic stability is extended to the context of discrete-time Markovian jump（DTMJ） antilinear systems. By using stochastic Lyapunov approaches, necessary and sufficient conditions are established for a DTMJ antilinear system to be stochastically stable in terms of coupled anti-Lyapunov matrix equations.

关键词： Stochastic Stability Markovian Jump Antilinear Systems discrete-time

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Adaptive Critic-Based Tracking Control of Non-Affine Nonlinear discrete-time Systems with Unknown Dynamics

Adaptive Critic-Based Tracking Control of Non-Affine Nonline...

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2011 Chinese Control and Decision Conference（CCDC）

作者： Qinmin Yang and Youxian Sun are with the State Key Laboratory of Industrial Control Technology,Institute of Industrial Process Control,Zhejiang University,Hangzhou,Zhejiang,310027 China

In this paper,the tracking control of a class of general non-affine discrete-time unknown systems represented by the nonlinear autoregressive moving average with eXogenous input （NARMAX） representation is *** equivalent affine-like representation in terms of the tracking error dynamics is first obtained from the original nonaffine nonlinear discrete-time system so that a robust adaptive critic-based neural network controller can be *** control scheme consists of an action NN for compensating the unknown system dynamics,and a critic NN to approximate certain strategic utility function and to tune the action NN *** NN weights are tuned in an online manner without the need of the knowledge of the system *** using the standard Lyapunov approach,the uniformly ultimate boundedness （UUB） of the closed-loop tracking error is *** results are given to substantiate the theoretical conclusions.

关键词： Non-affine nonlinear systems adaptive critic neural networks discrete-time

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State Estimation of discrete-time Markov Jump Linear Systems Based on Linear Minimum Mean-Square Error Estimate

State Estimation of Discrete-Time Markov Jump Linear Systems...

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2010 Chinese Control and Decision Conference

作者： Wei Liu~1 1.School of Information Science and Engineering,Northeastern University,Shenyang,110004

＜正＞This paper considers state estimation problem for discrete-time Markov jump linear *** this,two algorithm are *** first algorithm is an optimal algorithm of state estimation in the sense of linear minimum mean-square error estimate,which requires an ever-increasing computation and storage load with the length of the noise observation *** second algorithm is a suboptimal algorithm which is proposed to reduce the computation and storage load of the optimal algorithm.A numerical example is presented to evaluate the performance of the proposed suboptimal algorithm.

关键词： State Estimation discrete-time Markov jump Linear Minimum Mean-Square Error Estimate

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Prediction-based discrete-time Adaptive Nonlinear Stochastic Control

Prediction-based Discrete-time Adaptive Nonlinear Stochastic...

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1997年中国控制会议

作者： Chen WEI and Lei GUO Institute of Systems Science, Chinese Academy of Sciences Beijing, 100080, China

＜正＞In this paper, we establish the global stability of adaptive control of discrete-time parametric-strict-feedback nonlinear systems with additive random noises. The control law is designed based on weighted-loast... 详细信息

关键词： Stochastic systems adaptive control nonlinear discrete-time optimal prediction

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State Estimation of discrete-time Markov Jump Linear Systems in the Environment of Arbitrarily Correlated Noises

State Estimation of Discrete-Time Markov Jump Linear Systems...

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第三十届中国控制会议

作者： LIU Wei School of Electrical Engineering and Automation,Henan Polytechnic University,Jiaozuo 454000,P.R.China

＜正＞In this paper,the state estimation problem of discrete-time Markov jump linear systems is considered where the noises influencing the systems are arbitrarily *** this,two algorithms of state estimate for the considered systems based on the estimation criterion of linear minimum mean-square error estimate are *** first algorithm is an optimal algorithm which can exactly calculate the linear minimum mean-square error estimate of system *** second algorithm is a suboptimal algorithm which is proposed to reduce the computation and storage load of the proposed optimal algorithm. Computer simulations are carried out to evaluate the performance of the proposed suboptimal algorithm.

关键词： State Estimation discrete-time Markov Jump Arbitrarily Correlated Noises

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H∞ Filter Design for T-S Nonlinear discrete-time with Interval time Delays

H∞ Filter Design for T-S Nonlinear Discrete-Time with Inter...

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2010 Chinese Control and Decision Conference

作者： Yakun Su~(1,2),Bing Chen~2,Chong Lin~2,Zhenling Wang~2,Yingjian Lin~3 1.Department of Mathematics,Bohai University,Jinzhou 121000,China 2.Institute of Complexity Science,Qingdao University,Qingdao 266071 3.Department of Public Computer Teaching and Research,Bohai University,Jinzhou 121000,China

This paper deals with the problem of Hfilter design for nonlinear discrete-time systems with time-varying delays via T-S fuzzy model *** delay-dependent conditions for fuzzy Hfilter design are proposed in terms of linear matrix inequalities(LMIs),which produce a less conservative ***,one numerical example is given to demonstrate the effectiveness and the benefits of the proposed method.

关键词： discrete-time H∞Filtering Fuzzy Systems Linear Matrix Inequality(LMI)

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Filtering Of discrete-time For Noise In Coefficient Matrix Based On H∞ Control

Filtering Of Discrete-time For Noise In Coefficient Matrix B...

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2011 Chinese Control and Decision Conference（CCDC）

作者： Yongkui Man Institute of Electric Power System and Motor Drives Northeastern University of China Shenyang,ChinaYisheng Zhang Institute of Electric Power System and Motor Drives Northeastern University of China Shenyang,China

This paper presents a new approach to designing filter that deals with noise added in coefficient *** problems we face in practice are always coefficient unstable,which due to multiple noises in the *** assume that the problem can be expressed in discrete-time state *** main idea to solve the problem is keeping the system under linear theory,and filtering noises at the same *** results of the filter problem are used to solve the corresponding output-feedback *** stability is proofed with H∞ control theory,and designing filter is calculated with Linear Matrix Inequality （LMI） *** last an example is illustrated to show efficiencies of the filter.

关键词： filtering design multiple noise H control LMI discrete-time linear system

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State Estimation of discrete-time Markov Jump Linear Systems in the Environment of Arbitrarily Correlated Gaussian Noises

State Estimation of Discrete-Time Markov Jump Linear Systems...

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2011 Chinese Control and Decision Conference（CCDC）

作者： Wei Liu is with School of Electrical Engineering and Automation,Henan Polytechnic University,Jiaozuo 454000,China

This paper is concerned with the state estimation problem of discrete-time Markov jump linear systems where the noises infiuencing the systems are assumed to be arbitrarily correlated Gaussian *** a result,two algorithms are *** first algorithm is an optimal algorithm of state estimate in the sense of minimum mean-square error estimate,which can exactly compute the minimum mean-square error estimate of systems state given an observation *** second algorithm is a suboptimal algorithm which is proposed to reduce the computation and storage load of the proposed optimal algorithm.A numerical example is given to evaluate the performance of the proposed suboptimal algorithm.

关键词： State estimation discrete-time Markov jump Arbitrarily correlated Gaussian noises

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BI-DIRECTIONAL COHEN-GROSSBERG NEURAL NETWORK WITH discrete time

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Annals of Differential Equations 2009年第1期25卷 20-31页

作者： Du Dejun1, Chen Anping1,2 (1. Dept. of Math., Xiangtan University, Xiangtan 411005, Hunan 2. Dept. of Math., Xiangnan University, Chenzhou 423000, Hunan) Dept. of Math. Xiangtan University Xiangtan 411005 Hunan Dept. of Math. Xiangtan University Xiangtan 411005 Hunan Dept. of Math. Xiangnan University Chenzhou 423000 Hunan

discrete-time version of the bi-directional Cohen-Grossberg neural network is stud-ied in this paper. Some sufficient conditions are obtained to ensure the global exponen-tial stability of such networks with discrete time based on Lyapunov method. These results do not require the symmetry of the connection matrix and the monotonicity, boundedness and differentiability of the activation function.

关键词： bi-directional Cohen-Grossberg neural network discrete-time global exponential stability Lyapunov function

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