期刊
INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE
卷 53, 期 5, 页码 922-933出版社
TAYLOR & FRANCIS LTD
DOI: 10.1080/00207721.2021.1979684
关键词
Asymptotic tracking control; backstepping technique; state constraints; switched nonlinear systems
类别
资金
- National Natural Science Foundation of China [61803116, 62173103, 52171299]
An adaptive fuzzy asymptotic tracking control method is proposed for switched nonlinear systems with state constraints, utilizing fuzzy logic systems to handle unknown dynamics and the barrier Lyapunov function to address state constraints. By recursively constructing the asymptotic tracking controller based on backstepping technique, the system output tracking error is shown to converge to zero and system signals are bounded under the switching signal. The effectiveness of the developed scheme is demonstrated through simulation examples.
This article presents an adaptive fuzzy asymptotic tracking control method for switched nonlinear systems with state constraints. The fuzzy logic systems are employed to dispose the lumped unknown dynamics. The state constraints are addressed with the aid of the barrier Lyapunov function. Moreover, drawing support from some well-defined smooth functions, the asymptotic tracking controller is recursively constructed based on backstepping technique. Through Lyapunov analysis and the common Lyapunov function method, it is shown that the system output tracking error asymptotically converges to zero and all system signals are bounded under the switching signal. Finally, the validity of the developed scheme is elucidated by simulation example.
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