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non-fragile state estimation for Discrete-Time Complex Networks with Randomly Occurring Time-Varying Delays 36

Non-fragile State Estimation for Discrete-Time Complex Netwo...

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第36届中国控制会议

作者： Sunjie Zhang Jingyang Mao Derui Ding Le Yan School of Optical-Electrical and Computer Engineering University of Shanghai for Science and Technology

ISBN: (纸本)9781538629185

In this paper,the non-fragile state estimation problem is investigated for a class of discrete time-delay nonlinear complex networks with randomly occurring gain *** sequences of random variables obeying the Bernoulli distribution are employed to describe the phenomena of randomly occurring time-varying delays and randomly occurring gain *** stochastic analysis and Lyapunov functional approach,sufficient conditions are derived such that the addressed state estimation system ensures the exponential mean-square ***,a simulation example is provided to show the usefulness and effectiveness of the proposed state estimation conditions in this paper.

关键词： Complex networks non-fragile state estimation randomly occurring gain variations

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non-fragile state estimation for discrete-time neural network system with randomly occurring sensor saturations 36

Non-fragile state estimation for discrete-time neural networ...

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第36届中国控制会议

作者： Bao Wendong Li Jianning Lv Meilei Cai Jianping Wen Chenglin School of Automation Hangzhou Dianzi University Institute of Electrical and Information Engineering Quzhou University

ISBN: (纸本)9781538629185

This paper investigates the problem for the non-fragile state estimation of discrete-time neural network system with randomly occurring sensor saturations and time delays. In order to show the possible gain variations occurring in complex environments, a non-fragile state estimator is designed to ensure the estimation error converges to zero exponentially. And,by using a sensor saturation function to deals with the sensor saturation ***, Lyapunnov-Krasovskii functional approach is proposed, sufficient conditions are established to guarantee the existence of the desired state estimator. Finally, a numerical example is given to illustrate the effectiveness of the proposed method.

关键词： non-fragile state estimation Time delays nonlinearity Sensor saturations

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Distributed non-fragile state estimation for discrete nonlinear systems with parameter uncertainties

Distributed Non-Fragile State Estimation for discrete nonlin...

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第40届中国控制会议

作者： Ping Xu Huaiyu Wu Xiujuan Zheng Engineering Research Center for Metallurgical Automation and Measurement Technology of Ministry of Education Institute of Robotics and Intelligent Systems Wuhan University of Science and Technology

The distributed non-fragile state estimation problem is proposed for a class of discrete nonlinear systems with parameter uncertainties. Considering the parameter uncertainty of the system and the stochastic disturbance of the corresponding filter gain, a distributed non-fragile recursive state estimator is designed. Based on the strategy of linear consensus, a distributed non-fragile recursive filter is derived for each sensor node. Due to some uncertain parameters of the system, the upper bound of the filter error covariance is further derived. Then, the filter gain is obtained by minimizing the upper bound of the error covariance. Finally, an indoor localization system for mobile robots is provided to verify the proposed state estimator.

关键词： non-fragile state estimation distributed filtering parameter uncertainties wireless sensor network

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