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PD-Type Iterative Learning Control for a Class of Uncertain Time-Delay Systems with Biased Initial State

SUN Mingxuan; HUANG Baojian and ZHANG Xuezhi(Department of Electrical Engineering,Xi'an institute of Technology Xi'an, 710032, PRC)  
In this paper,by introducing an initial-update-action term into the PD-type learning law,a newlearning control algorithm is proposed for perfect tracking of a class of uncertain time-delay systems with biased initial state. A milder condition for the convergence of the learning control is proved. It is also demonstrated,by simulation,that the proposed algorithm yields a good performance even in the presence of a biasedinitial state.
【Fund】: 国家自然科学基金资助!69404004
【CateGory Index】: TP273
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