Iterative Learning Control For A Class Of Linear Constant Continuous Switching Systems

This paper deals with the problem of iterative learning control for a class of linear continuous-time switched systems in the presence of a fixed initial shift.The full text are divided into three chapters:Chapter 1 The historical background of iterative learning control are described and the significance and goal of the research work are given.Chapter 2 This chapter deals with the problem of iterative learning control for a class of linear continuous-time switched systems in the presence of a fixed initial shift.Here,the considered switched systems are operated during a finite time interval repetitively.Two kinds of the systematic structure are considered,one is that the dimension of the input is less than or equal to the dimension of the output,and the other is that the dimension of the output is less than or equal to the dimension of the input.The convergence theorems of the output tracking errors are established based on the contraction mapping method,the conclusion is that the output of the system converges uniformly to the corresponding output limiting trajectory over the whole time interval under the action of the PD-type learning scheme.Chapter 3 This chapter deals with the problem of iterative learning control for a class of linear continuous-time switched systems under the action of the initial rectifying strategies.Based on the contraction mapping method,the output of the system converges uniformly to the corresponding desired reference trajectory beyond a small initial time interval.Chapter 4 Simulation examples of this chapter illustrate the effectiveness of the proposed methods.Chapter 5 The conclusions are given and the further work and research direction are put forward.