Tunable predefined time nonsingular terminal sliding mode control based on neural network for nonlinear systems

نویسندگان

چکیده

This paper proposes a novel predefined time nonsingular terminal sliding mode control (TSMC) based on radial basis function neural network (RBFNN) for nonlinear systems. Firstly, new lemma of tunable stability (PTS) is proposed, where the introduction an adjustable parameter can adjust system and makes design controller more flexible. Secondly, proposed lemma, method which not only guarantees PTS system, but also solves singularity problem traditional TSMC unknown model information. Finally, through comparative simulation, it verified that has good performance.

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ژورنال

عنوان ژورنال: IEEE Access

سال: 2023

ISSN: ['2169-3536']

DOI: https://doi.org/10.1109/access.2023.3317514