Iterative learning control for a class of linear continuous-time switched systems. (Chinese. English summary) Zbl 1274.93137
Summary: The problem of iterative learning control for a class of linear continuous-time switched systems with arbitrary switched rules is considered. It is assumed that the considered switched systems are operated during a finite time interval repetitively, and then the iterative learning control scheme can be introduced. It is also shown that under some given conditions, the D-type iterative learning control law can guarantee the asymptotic convergence of the output error between the desired output and the actual output for the entire time interval through the iterative learning process. Then, an example is given to illustrate the effectiveness of the proposed approach.
MSC:
93C30 | Control/observation systems governed by functional relations other than differential equations (such as hybrid and switching systems) |
93C05 | Linear systems in control theory |
93C40 | Adaptive control/observation systems |
68T05 | Learning and adaptive systems in artificial intelligence |