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A fuzzy adaptive control approach for nonlinear systems with unknown control gain sign
- Source :
- Neurocomputing. 179:318-325
- Publication Year :
- 2016
- Publisher :
- Elsevier BV, 2016.
-
Abstract
- In this paper, a new direct adaptive controller for nonlinear SISO systems with unknown control gain sign is investigated. The controller design is based on the approximation capability of fuzzy systems. A Nussbaum function is incorporated in the adaptation laws to deal with the unknown control direction (i.e. with the unknown control gain sign). The stability of the closed-loop system is proven using a Lyapunov approach. Finally, simulation results are given to verify the feasibility and effectiveness of the proposed controller.
- Subjects :
- 0209 industrial biotechnology
Adaptive control
Computer science
Cognitive Neuroscience
Stability (learning theory)
02 engineering and technology
Fuzzy control system
Computer Science Applications
Nonlinear system
020901 industrial engineering & automation
Artificial Intelligence
Control theory
0202 electrical engineering, electronic engineering, information engineering
020201 artificial intelligence & image processing
Control (linguistics)
Adaptation (computer science)
Sign (mathematics)
Subjects
Details
- ISSN :
- 09252312
- Volume :
- 179
- Database :
- OpenAIRE
- Journal :
- Neurocomputing
- Accession number :
- edsair.doi...........0daa1e3d2d5e6a37e4a630b6270c5a78