|Decentralized Iterative Learning Control for Large-Scale Interconnected Linear Systems with Fixed Initial Shifts
Qin Fu*, Pan-Pan Gu, and Jian-Rong Wu
International Journal of Control, Automation, and Systems, vol. 15, no. 5, pp.1991-2000, 2017
Abstract : "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."
"Decentralized control, fixed initial shifts, iterative learning control, large-scale interconnected linear systems, PD-type learning schemes."