Studies On Filtering Problems Under Several Complex Network Environments

In this thesis,based on the several complex network environments,three kinds of filtering problems are investigated for several types of complex systems which are widely concerned in the engineering field.The complex network environments under consideration mainly include event triggering mechanism,some network communication protocols,sensor saturations,sensor failures and network attacks.The widely applied complex systems are taken into account,which are the stochastic spatial temporal systems,state-saturated complex networks,sensor networks,nonlinear delayed systems and multi-rate fusion systems.According to the different practical applications,we mainly discuss the three kinds of filtering issues,i.e.,H?filtering,Kalman-like recursive filtering and security-guaranteed filtering.Generally speaking,the research content of this thesis is divided into three parts.The H?filtering problems are studied with the complex network environments in the first part.By using linear matrix inequalities(LMIs)and recursive linear matrix inequalities(RLMIs)technologies,the infinite and the finite horizon H?filter schemes are given,respectively.The second part mainly concerns with the recursive filtering problem based on the complex network environments.We extend the theoretical framework of classical Kalman filtering to solve more filtering problems for more general complex systems,and then the online recursive filter design algorithms are obtained.In the third part,security filtering issues are discussed based on the complex network environments.In terms of the proposed security guaranteed filtering performance criteria,the ideal security filters are obtained.Specifically,the compendious frame and description of the thesis are given in the following.First,we investigate the H?filtering problems for time invariant/varying systems with the complex network environments.In Chapter 2,the reliable H?filtering problem is addressed for a class of stochastic spatial-temporal systems with sensor saturations and failures.Chapter 3 addresses the finite-horizon H?filtering problem for a class of discrete time-varying state-saturated complex networks in the presence of the Weighted Try-Once-Discard(WTOD)protocol.Second,the recursive filtering problems are investigated for time-varying systems based on the complex network environments.In order to describe the system's mathematical model more practical,this part discusses the uncertainty of the system parameters and the state saturations.In Chapter 4,the robust recursive filter-ing problem is investigated for a class of uncertain stochastic discrete time-varying spatial-temporal systems with an event-based communication mechanism.In Chapter 5,the recursive state estimation problem is investigated for stochastic linear discrete time-varying state-saturated complex networks with stochastic communication protocol.Chapter 6 discusses the distributed recursive filtering problem for a class of stochastic discrete time-varying systems over sensor networks subjected to both state saturations and the Round-Robin(RR)protocol.Finally,according to the complex network environments,the security filtering problems are discussed.In view of the wide application of network technology in engineering,network security has become a hot research field.This part mainly studies the filter design issues of security performance for two kinds of systems under the deception attacks.In Chapter 7,the security-guaranteed filtering problem is studied for a class of nonlinear stochastic discrete time-delay systems with randomly occurring sensor saturations(ROSSs)and randomly occurring deception attacks(RODAs).In Chapter 8,the centralized security-guaranteed filtering problem is studied for linear time-invariant stochastic systems with multirate-sensor fusion under deception attacks.