Study On Several Problems Of Nonlinear Control Systems With Communication Protocol

Along with the introduction of communication networks,the network-based control technology has developed rapidly.So far,networked control systems(NCSs)have been widely used in many fields,such as automotive automation,intelligent buildings,transportation networks,unmanned aerial vehicles,and industrial production.Comparing with traditional control systems,the components of NCSs exchange informations through a shard communication network with limtied bandwidth.In order to save communication resources and avoid data confiicts,communication protocols are usually utilized to schedule transmitted signals,so that only one network node or finite network nodes can access the communication network at each transmission moment.Under the influence of the schduling rules of communication protocols,the structure of control systems becomes more complex,which make the analysis and synthesis problems become much more difficult.In recent years,the research on control and filtering problems of control systems with communication protocols has attracted a lot of attentions from scholars at home and abroad.However,to the best of our knowledge,the corresponding research of nonlinear systems has not been systematic.Especially,considering the effects of other network-induced constraints caused by limited bandwidth simultaneously,these problems need to be further explored and solved.This thesis is concernd with the control and filtering problems of nonlinear systems with the effect of several types of communication protocols,and even some new problems and approaches for designing controllers and filters.To this end,we present specific contents and frameworks of this thesis as follows.Chapter 1 introduces the research background of this thesis in detail firstly.Then,we review the recent advances on stability analysis,controller and filter design of control systems with communication protocols.Based on this,we present some deficiencies of exsiting results,and clarify the research motivation.Finally,we introduce the main contents of this thesis.Chapter 2 studies the robust H_∞ control problem for the uncertainty nonlinear system with the effects of the RA protocol and the dynamic quantization based on the T-S fuzzy model.In this chapter,we consider the norm-bounded uncertainties in both state and measurement output of the system.For the communication network,the signal of measurement output is quantized by a dynamic quantizer firstly,and then transmitted to the controller through the communication channel,which is scheduled by the RA protocol based on the Markov chain.A dynamic output feedback controller is designed with fuzzy rules and Markov modes.Based on this,the addressed design problem of the controller for the T-S fuzzy system can be solved by constructing a new Lyapunov function and utilizing stochastic stability theory.Chapter 3 studies the security control problem for the nonlinear system with the effects of the RR protocol,the dynamic quantization and deception attacks based on the T-S fuzzy model.In this chapter,the signals of measurement output and control input are quantized by dynamic quantizers firstly,and then transmitted to the controller and the actuator respectively through different communication channles,which are scheduled by the RR protocol and affected by deception attacks subject to Bernoulli distribution.A mode-dependent and observer-based output feedback controller is designed in this chapter.Based on this,the addressed design problem of the controller for the T-S fuzzy system can be solved by constructing a mode-dependent Lyapunov function and utilizing input-to-state stability theory.Chapter 4 studies the H_∞ filtering problem for the time-delay nonlinear system with the effects of the TOD protocol,the dynamic quantization and deception attacks based on the T-S fuzzy model.In this chapter,the signal of measurement output is quantized by a dynamic quantizer firstly,and then transmitted to the filter through the communication channel,which is scheduled by the TOD protocol and affected by deception attacks subject to Bernoulli distribution.A mode-dependent and non-fragile filter is designed in this chapter.Based on this,the addressed design problem of the filter for the T-S fuzzy system with time delay can be solved by constructing a mode-dependent Lyapunov-Krasovskii function and utilizing Jenson inequality approach.Chapter 5 studies the tracking control problems for the nonlinear system with the effects of the TOD protocol and the quantization based on the T-S fuzzy model.In this chapter,the signals of the measurement output and the reference output are quantized by logarithmic quantizers firsty,and then transmitted to the controller through different communication channels,which are scheduled by the TOD protocol.Moreover,the influence of actuator saturation on control input is discussed in this chapter.A mode-dependent output feedback controller is designed.Based on this,the addressed design problem of tracking controller can be solved by constructing a mode-dependent Lyapunov function.