Adaptive dynamic surface fuzzy control improves output error in nonlinear systems, indicating advantages over traditional methods.
A class of strict feedback control systems containing external disturbances is studied, and an adaptive dynamic surface fuzzy tracking control strategy with predefined time and error accuracy is proposed. Firstly, the dynamic surface control is used to solve the computational complexity problem; secondly, the fuzzy logic technique and Young's inequality are used to derive the upper bound containing the unknown nonlinear function and the external disturbance, Then, the first‐order nonlinear filter is combined with the adaptive technique, and according to the Lyapunov stability theorem, it is rigorously proved that the proposed predefined time controller can converge the output error to the origin within the predefined time within a small neighborhood near the origin. Finally, the effectiveness of the proposed method in this paper is verified by simulation examples.
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You et al. (2025) studied this question.
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