Networked System H_? Filtering And Control Based On Packet Loss Compensation Strategy

The popularization of internet and development of communication technology has changed the structure of control systems greatly.During the past decade,the networked control systems(NCS)have received an increasing research interest due to their successful applications in a variety of domains such as the car automation,intelligent building,transportation networks,haptics collaboration over the Internet,and unmanned aerial vehicles The data packet dropout problems in networked system are investigated,where different packet dropout strategies are adopted.In the meanwhile,other network-induced phenomena are considered simultaneously.By employing Lyapunov stability theory and linear matrix inequality(LMI)technology,the H_? filter and controller are designed to meet prescribed H_? performance.The main research contents are as follows:First of all,aiming at a class of discrete-time linear NCS with packet losses,a redundant channel communication method is proposed to improve the data reception rate.This method uses sensor redundancy to solve the adverse effect of packet losses on the system,and uses the forecast compensation strategy to further improve the system performance.Based on Lyapunov stability analysis and linear matrix inequality technology,a filter is designed to make the filtering error system asymptotically stable in the mean square and guarantee prescribed H_? performance.After that,it is concerned with the distributed H_? filtering problems with consensus for a class of systems subject to randomly occurred nonlinearity and time-varying topology in sensor networks.A group of Bernoulli distributed random variables are utilized to describe the varying topology and missing measurements in a unified framework.In terms of two-dimensional(2-D)system theory,a nonlinear two-step filter is designed with consensus protocol where a multiple data strategy is used to improve the system performance.The desired filter parameters are obtained by LMI technique such that the estimation error system is asymptotically stable in the sense of mean square and meets a prescribed average H_? performance level.Finally,it is concerned with the H_? controller design problem for a class of networked nonlinear systems represented by the T-S fuzzy model.During the transmission of measured outputs to the remote controller,the data packets will unavoidable be lost due to the network congestion.In order to improve the reliability of communication,a scheme of sensors equipped with redundant channels is proposed to reduce the negative effect of packet dropouts.Sufficient conditions on the existence of the desired controller are established by employing Lyapunov stability theory to ensure that the resulting closed-loop system is stochastically stable and achieves a prescribed H_? performance index.