Iterative Learning Control for a Class of Linear Discrete-time Switched Systems
| Autor: | Zhongsheng Hou, Fuzhong Wang, Xu-Hui Bu, Fa-Shan Yu |
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| Rok vydání: | 2013 |
| Předmět: |
Scheme (programming language)
Class (set theory) Materials Science (miscellaneous) Iterative learning control Interval (mathematics) Tracking (particle physics) General Business Management and Accounting Industrial and Manufacturing Engineering Domain (mathematical analysis) Discrete time and continuous time Control theory Convergence (routing) Business and International Management General Agricultural and Biological Sciences computer computer.programming_language Mathematics |
| Zdroj: | Acta Automatica Sinica. 39:1564-1569 |
| ISSN: | 1874-1029 |
| Popis: | In this paper, the iterative learning control (ILC) is considered for a class of linear discrete-time switched systems with arbitrary switching signals. It is assumed that the switched system is operated during a finite time interval repetitively, and then the first order P-type ILC scheme can be used to achieve perfect tracking over the whole time interval. By the super vector approach, a convergence condition for such ILC systems in the iteration domain can be given. The theoretical analysis is supported by simulations. |
| Databáze: | OpenAIRE |
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