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Adaptive iterative learning control for a class of bilinear parameterized systems with time-varying delay. (Chinese. English summary) Zbl 1340.93105

Summary: For a class of bilinear parameterized systems with time-varying delay, a novel adaptive iterative learning control strategy is proposed. The time-varying delay term is solved via the signal replacement theory and the parameter recombination technique. For the bilinear parameterized term, a differential-difference couple-type updating law is imported. Then, convergence of the tracking error and finiteness of all signals are proved via constructing a Lyapunov-Krasovskii composite energy function. Finally, a simulation example is carried out to illustrate the validity and feasibility of the designed strategy.

MSC:

93C40 Adaptive control/observation systems
68T05 Learning and adaptive systems in artificial intelligence
93C10 Nonlinear systems in control theory
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