Model-based Dissipative Control For Networked Control Systems

This thesis studies the model-based dissipative control for networked control systems.Depending on the plant sampled states,a discrete event-triggered communication mechanism was proposed,which can effectively increase the network resource utilization and reduce energy consumption when the fluctuation of system state(or output)variables change slowly.Secondly,in real systems,the sampling periods of system state(or output)variables are difficult to unify a same sampling period,therefore,the model-based networked control problem for systems with multiple sampling periods is more and more important.The main research contents of this paper include the two parts:The first part considers the model-based dissipative control for networked control system under an event-triggered communication scheme;The second part studies model-based dissipative control for networked dual-rate sampling system.The detailed research contents of this thesis are follows:(1)The first chapter introduces the research background,significance and research status at home and abroad for model-based networked control systems and multi-rate sampling systems,and then presents the main research problems of this paper.(2)In the second chapter,the model-based dissipative control problem for networked control system is studied under an event-triggered communication mechanism.An event-triggered transmission scheme is proposed to determine when the recent sampled state is transmitted to the model over a network by judging whether the relative error between the recent sampled state and latest transmitted sampled state is greater than a given threshold.Taking the network induced delays into account,the resulting networked control system is modeled as an augmented system with time delays.By constructing a Lyapunov-Krasovskii storage function and combining with dissipative theory,the strict(Q0,S0,R0)dissipative performance criterion of the system,the design method of the corresponding controller are given in the term of matrix inequalities.Finally,a numerical example is given to demonstrate the effectiveness of the proposed results in this chapter.(3)In the third chapter,the model-based dissipative control problem for a networked dual-rate sampling system is dealt with.The state variables of the plant are divided into two groups,and the two groups are sampled by two kinds of samplers with two different sampling rates.Using the input delay method,the resulting closed-loop system is modeled as an augmented time-delay system with two different input delays.By constructing a Lyapunov-Krasovskii storage function and combining with dissipative theory,a strict(Q0,S0,R0)dissipative performance criterion and the model-based controller design method for networked dual-rate sampling system are given.Finally,a numerical example is present to illustrate the efficiency of the proposed results in this chapter.(4)The fourth chapter summarizes the main work of this paper,and points out the problems to be further studied.