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Backstepping Fuzzy Adaptive Control for a Class of Quantized Nonlinear Systems
- Source :
- IEEE Transactions on Fuzzy Systems. 25:1090-1101
- Publication Year :
- 2017
- Publisher :
- Institute of Electrical and Electronics Engineers (IEEE), 2017.
-
Abstract
- This paper proposes a new adaptive controller for a class of uncertain nonlinear systems with a quantized signal. Fuzzy logic systems are utilized to approximate nonlinear terms without imposing prior matching conditions required. A hysteretic type of quantizer is incorporated to reduce chattering. A new adaptive backstepping controller is designed to guarantee that the underlying uncertain nonlinear system is semiglobally uniformly ultimately bounded. Two numerical examples are presented to demonstrate the effectiveness and potential of the proposed techniques.
- Subjects :
- 0209 industrial biotechnology
Matching (graph theory)
Applied Mathematics
02 engineering and technology
Fuzzy logic
Nonlinear system
020901 industrial engineering & automation
Computational Theory and Mathematics
Computer Science::Systems and Control
Artificial Intelligence
Control and Systems Engineering
Control theory
Adaptive system
Backstepping
Control system
Bounded function
0202 electrical engineering, electronic engineering, information engineering
020201 artificial intelligence & image processing
Mathematics
Subjects
Details
- ISSN :
- 19410034 and 10636706
- Volume :
- 25
- Database :
- OpenAIRE
- Journal :
- IEEE Transactions on Fuzzy Systems
- Accession number :
- edsair.doi...........ce215802afe4395e38c150a235358adf