Design of an Adaptive Fuzzy Backstepping Synergetic Control Scheme for a Class of Strict-Feedback Nonlinear Systems
| Autor: | Kamel Guesmi, Mohamed Bougrine, Aissa Rebai |
|---|---|
| Přispěvatelé: | Ecole Nationale Polytechnique [Alger] (ENP), Centre de Recherche en Sciences et Technologies de l'Information et de la Communication - EA 3804 (CRESTIC), Université de Reims Champagne-Ardenne (URCA), Université Amar Telidji - Laghouat |
| Rok vydání: | 2020 |
| Předmět: |
0209 industrial biotechnology
Adaptive control Computer science 02 engineering and technology Fuzzy control system Fuzzy logic [SPI.AUTO]Engineering Sciences [physics]/Automatic Tracking error Nonlinear system 020901 industrial engineering & automation Control theory Backstepping Bounded function 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing ComputingMilieux_MISCELLANEOUS |
| Zdroj: | Lecture Notes in Electrical Engineering ISBN: 9789811564024 International Conference on Electrical Engineering and Control Applications (ICEECA) International Conference on Electrical Engineering and Control Applications (ICEECA), 2019, Constantine, Algeria. pp.263-277, ⟨10.1007/978-981-15-6403-1_18⟩ |
| DOI: | 10.1007/978-981-15-6403-1_18 |
| Popis: | The aim of this paper is to construct an adaptive fuzzy controller for strict feedback nonlinear uncertain disturbed systems. The backstepping and synergetic control techniques are combined to develop a robust controller for the considered class of systems. In this paper, fuzzy systems are utilized to estimate the unknown behaviors of the system. The proposed approach guarantees that all signals in the closed-loop adaptive control system are semi-globally uniformly ultimately bounded, and the tracking error eventually converges to a small neighbourhood of the origin. Numerical simulations are provided to show the effectiveness of the presented control technique. |
| Databáze: | OpenAIRE |
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