We found a match
Your institution may have access to this item. Find your institution then sign in to continue.
- Title
Observer‐based adaptive fault estimation and fault‐tolerant tracking control for a class of uncertain nonlinear systems.
- Authors
Wu, Yang; Zhang, Guoshan; Wu, Libing
- Abstract
This paper considers the problem of adaptive fault estimation and fault‐tolerant tracking control for a class of uncertain nonlinear systems with model uncertainty and process fault. By utilising the approximation abilities of fuzzy logic systems, a novel fault estimation fuzzy observer is designed to estimate the unmeasured states, nonlinear functions and process fault. Based on backstepping technologies, a adaptive fuzzy fault‐tolerant controller with the adaptive updated laws is established, which can not only ensure the prescribed tracking performances, but also effectively compensate the process fault. It is proved that all the closed‐loop signals of systems are uniformly ultimately bounded and the tracking errors can constrain to the prescribed bounds. Finally, simulation results can verify the efficiency of the proposed approach.
- Publication
IET Control Theory & Applications (Wiley-Blackwell), 2021, Vol 15, Issue 1, p13
- ISSN
1751-8644
- Publication type
Article
- DOI
10.1049/cth2.12021