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Design of an Adaptive Fuzzy Backstepping Synergetic Control Scheme for a Class of Strict-Feedback Nonlinear Systems
- Source :
- 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⟩
- Publication Year :
- 2020
- Publisher :
- Springer Nature Singapore, 2020.
-
Abstract
- 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.
- Subjects :
- 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
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- 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⟩
- Accession number :
- edsair.doi.dedup.....79c860317c36ebeaa3a8e526d3b74b96