Decentralized Iterative Learning Control for Large-scale Interconnected Linear Systems with Fixed Initial Shifts

作者：Fu, Qin^*; Gu, Pan-Pan; Wu, Jian-Rong

来源：International Journal of Control Automation and Systems, 2017, 15(5): 1991-2000.

DOI：10.1007/s12555-016-0235-z

• Decentralized control
• fixed initial shifts
• iterative learning control
• large-scale interconnected linear systems
• PD-type learning schemes

This paper deals with the problem of iterative learning control for large-scale interconnected linear systems in the presence of fixed initial shifts. According to the characteristics of the systems, iterative learning control laws are proposed for such large-scale interconnected linear systems based on the PD-type learning schemes. The proposed controller of each subsystem only relies on local output variables without any information exchanges with other subsystems. Using the contraction mapping method, we show that the schemes can guarantee the output of the system converges uniformly to the corresponding output limiting trajectory over the whole time interval along the iteration axis. Simulation examples illustrate the effectiveness of the proposed method.

• 出版日期2017-10
• 单位苏州科技大学