Adaptive Fuzzy Asymptotic Tracking for Nonlinear Systems With Nonstrict-Feedback Structure
| Autor: | Yanjun Liang, Zhongsheng Hou, Yuan-Xin Li, Wei-Wei Che |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Lyapunov function
0209 industrial biotechnology State variable Adaptive control Computer science 02 engineering and technology Fuzzy logic Computer Science Applications Human-Computer Interaction Nonlinear system symbols.namesake 020901 industrial engineering & automation Exponential stability Control and Systems Engineering Control theory Control system Backstepping 0202 electrical engineering electronic engineering information engineering symbols 020201 artificial intelligence & image processing Electrical and Electronic Engineering Software Information Systems |
| Zdroj: | IEEE transactions on cybernetics. 51(2) |
| ISSN: | 2168-2275 |
| Popis: | In this article, the tracking control problems of the nonlinear nonstrict-feedback systems are considered. By combining the backstepping technique and bound estimation method, a novel nonlinear adaptive asymptotical control law is proposed, which offsets the effect of the unknown virtual control parameters and the uncertain nonlinearities. Correspondingly, an improved Lyapunov function by introducing the lower bounds of control parameters has been devised in this article. Compared with the existing adaptive tracking control schemes, the controller designed in this article can guarantee that the tracking control error converges to zero asymptotically and all the signals which contain the state variables and the adaptive laws are bounded. Moreover, the asymptotic stability of the system is realized for the first time. Finally, simulation examples are applied to test and prove the availability of the presented methods and the performance of the controlled system. |
| Databáze: | OpenAIRE |
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