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Fuzzy adaptive backstepping robust control for SISO nonlinear system with dynamic uncertainties
- Source :
- Information Sciences. 179:1319-1332
- Publication Year :
- 2009
- Publisher :
- Elsevier BV, 2009.
-
Abstract
- In this paper, a fuzzy adaptive backstepping design procedure is proposed for a class of nonlinear systems with three types of uncertainties: (i) nonlinear uncertainties; (ii) unmodeled dynamics and (iii) dynamic disturbances. The fuzzy logic systems are used to approximate the nonlinear uncertainties, nonlinear damping terms are used to counteract the dynamic disturbances and fuzzy approximation errors, and a dynamic signal is introduced to dominate the unmodeled dynamics. The derived fuzzy adaptive control approach guarantees the global boundedness property for all the signals and states, and at the same time, steers the output to a small neighborhood of the origin. Simulation studies are included to illustrate the effectiveness of the proposed approach.
- Subjects :
- Mathematical optimization
Adaptive neuro fuzzy inference system
Information Systems and Management
Computer science
SIGNAL (programming language)
Fuzzy adaptive
Fuzzy logic
Computer Science Applications
Theoretical Computer Science
Nonlinear system
Artificial Intelligence
Control and Systems Engineering
Control theory
Backstepping
Robust control
Software
Subjects
Details
- ISSN :
- 00200255
- Volume :
- 179
- Database :
- OpenAIRE
- Journal :
- Information Sciences
- Accession number :
- edsair.doi...........0bce0a0bcf648522e56084eb1c7f3111