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Fuzzy adaptive state-feedback fault-tolerant control for switched stochastic nonlinear systems with faults.
- Source :
-
Neurocomputing . Apr2016, Vol. 186, p35-43. 9p. - Publication Year :
- 2016
-
Abstract
- In this paper, the fault-tolerant control (FTC) problem is investigated for a class of uncertain switched stochastic nonlinear systems. The controlled system contains unknown nonlinear functions and actuator faults, which are modeled as both lock-in-place and loss of effectiveness. With the help of fuzzy logic systems to approximate the unknown nonlinear functions and by utilizing the common Lyapunov function (CLF) method, a fuzzy adaptive state-feedback fault-tolerant tracking control approach is developed. It is shown that all the variables of the closed-loop system are semi-globally uniformly bounded (SGUUB) in probability, the tracking error converges to an arbitrary small neighborhood of the origin. A simulation is given to demonstrate the effectiveness of the proposed approach. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 09252312
- Volume :
- 186
- Database :
- Academic Search Index
- Journal :
- Neurocomputing
- Publication Type :
- Academic Journal
- Accession number :
- 114023507
- Full Text :
- https://doi.org/10.1016/j.neucom.2015.12.080