Finite-Time Robust Intelligent Control of Strict-Feedback Nonlinear Systems With Flight Dynamics Application

Bin Xu, Xia Wang, Yingxin Shou, Peng Shi, Zhongke Shi

科研成果: 期刊稿件文章同行评审

29 引用 (Scopus)

摘要

The tracking control is investigated for a class of uncertain strict-feedback systems with robust design and learning systems. Using the switching mechanism, the states will be driven back by the robust design when they run out of the region of adaptive control. The adaptive design is working to achieve precise adaptation and higher tracking precision in the neural working domain, while the finite-time robust design is developed to make the system stable outside. To achieve good tracking performance, the novel prediction error-based adaptive law is constructed by considering the estimation performance. Furthermore, the output constraint is achieved by imbedding the barrier Lyapunov function-based design. The finite-time convergence and the uniformly ultimate boundedness of the system signal can be guaranteed. Simulation studies show that the proposed approach presents robustness and adaptation to system uncertainty.

源语言英语
页(从-至)6173-6182
页数10
期刊IEEE Transactions on Neural Networks and Learning Systems
33
11
DOI
出版状态已出版 - 1 11月 2022

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