期刊
IEEE TRANSACTIONS ON CYBERNETICS
卷 48, 期 10, 页码 2774-2782出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TCYB.2017.2749511
关键词
Adaptive neural control; backstepping; finite time tracking; nonlinear systems; nonstrict feedback structure
类别
资金
- National Natural Science Foundation of China [61473160, 61673227]
This paper focuses on finite-time adaptive neural tracking control for nonlinear systems in nonstrict feedback form. A semiglobal finite-time practical stability criterion is first proposed. Correspondingly, the finite-time adaptive neural control strategy is given by using this criterion. Unlike the existing results on adaptive neural/fuzzy control, the proposed adaptive neural controller guarantees that the tracking error converges to a sufficiently small domain around the origin in finite time, and other closed-loop signals are bounded. At last, two examples are used to test the validity of our results.
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