Decentralized Iterative Learning Control for Large-Scale Interconnected Linear Systems with Fixed Initial Shifts
- Resource Type
- Article
- Authors
- Qin Fu; Pan-Pan Gu; Jian-Rong Wu
- Source
- International Journal of Control, Automation, and Systems, 15(5), pp.1991-2000 Oct, 2017
- Subject
- 제어계측공학
- Language
- English
- ISSN
- 2005-4092
1598-6446
This paper deals with the problem of iterative learning control for large-scale interconnected linear systemsin the presence of fixed initial shifts. According to the characteristics of the systems, iterative learning controllaws are proposed for such large-scale interconnected linear systems based on the PD-type learning schemes. Theproposed controller of each subsystem only relies on local output variables without any information exchanges withother subsystems. Using the contraction mapping method, we show that the schemes can guarantee the output ofthe system converges uniformly to the corresponding output limiting trajectory over the whole time interval alongthe iteration axis. Simulation examples illustrate the effectiveness of the proposed method.