An repetitive learning control strategy is presented for a class of bilinear parametric systems with mixed unknown time-varying and time-invariant parameters and unknown time varying delay. By reconstructing the system equation, the time-varying delay is combined into an unknown periodic time-varying vector which is estimated by a periodic adaptive mechanism. The proposed control scheme includes a differential-difference mixed-type adaptive law used to estimate the unknown time-varying parameters and an adaptive repetitive learning control. Based on the Lyapunov-Krasovskii energy function synthesis, we show that all signals in the closed-loop system remain bounded and the asymptotic convergence of the tracking error. The simulation results show the feasibility and effectiveness of the approach.
Repetitive learning control for bilinear parametric systems with unknown time-varying delays and time-varying parameters
2014-08-01
163510 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
DOAJ | 2022
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