摘要

This paper aims at exploring a fuzzy-based adaptive dynamic surface control (DSC) for a class of non-linear systems in strict-feedback form. Incorporating DSC technique into a fuzzy logic system based minimal-learning parameter algorithm and by introducing an initialization technique based on a surface error modification, it is shown that the design procedure and the computational burden can be greatly reduced and the L-infinity performance of system tracking error can be achieved. Besides, some restrictions on controlled systems in stability analysis of previous works are also removed. Simulation results are presented to demonstrate the efficiency of the proposed scheme.

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