Event-Triggered State Estimation for a Class of Nonlinear Stochastic Systems with Mixed Time Delays
In this paper,the state estimation problem is investigated for a class of nonlinear stochastic systems with mixed time delays under event-triggered scheme.Based on the proposed event-triggered scheme,the new measurement is sampled and then transmitted to the estimator only when the difference between the current measurement and the previous transmitted measurement is greater than a fixed threshold,thereby reducing the network traffic.Attention is focused on the design problem of the estimator such that the estimation error in mean square is bounded and then minimized.A novel Lyapunov function is employed to derive sufficient condition for the existence of the desired state estimators whose gain matrix can be computed by solving a convex problem.The gain matrix of the estimator is characterized in order that an asymptotic bound of the estimation error is found and subsequently minimized.A numerical simulation is provided to illustrate the effectiveness of the results.
Event-triggered scheme mixed time delays nonlinear systems ultimately boundedness
Lei Zou Zidong Wang Derui Ding Hong Qiao
Research Institute of Intelligent Control and Systems,Harbin Institute of Technology,Harbin 150001,C Department of Computer Science,Brunel University,Uxbridge,Middlesex,UB8 3PH,United Kingdom School of Information Science and Technology,Donghua University,Shanghai 200051,China Institute of Automation,Chinese Academy of Sciences,Beijing 100190,China
国际会议
The 33th Chinese Control Conference第33届中国控制会议
南京
英文
5235-5240
2014-07-28（万方平台首次上网日期，不代表论文的发表时间）