Adaptive fuzzy fixed-time control for a class of strict-feedback stochastic nonlinear systems
| Autor: | Nan Wang, Zhumu Fu, Fazhan Tao, Shuzhong Song, Min Ma |
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| Jazyk: | angličtina |
| Rok vydání: | 2022 |
| Předmět: | |
| Zdroj: | Systems Science & Control Engineering, Vol 10, Iss 1, Pp 142-153 (2022) |
| Druh dokumentu: | article |
| ISSN: | 21642583 2164-2583 |
| DOI: | 10.1080/21642583.2022.2048320 |
| Popis: | This paper studies fixed-time tracking problems for stochastic nonlinear systems in strict-feedback form. Different from previous results, the practical fixed-time bounded theorem for stochastic nonlinear systems is given. The unknown functions of the stochastic nonlinear systems are approximated by the Fuzzy logic system (FLS) which has a universal approximation. Then by using a back-stepping method, a novel adaptive fuzzy fixed-time controller is designed for stochastic nonlinear systems based on the fixed-time bounded theorem. The states of the stochastic nonlinear systems are guaranteed to converge into an equilibrium point contained compact set semi-globally in fixed-time by the designed controller. Finally, a numerical example and a vehicle tracking model example are provided to illustrate the proposed strategy. |
| Databáze: | Directory of Open Access Journals |
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