This paper deals with the design of adaptive fuzzy sliding-mode controllers for the T-S fuzzy model based on the Lyapunov function. It is shown that the Lyapunov function can be used to establish fuzzy sliding surfaces by solving a set of linear matrix inequalities (LMIs). The design of the fuzzy sl
Fuzzy sliding mode controller design for uncertain time-delayed systems with nonlinear input
β Scribed by Fang-Ming Yu; Hung-Yuan Chung; Shi-Yuan Chen
- Publisher
- Elsevier Science
- Year
- 2003
- Tongue
- English
- Weight
- 425 KB
- Volume
- 140
- Category
- Article
- ISSN
- 0165-0114
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β¦ Synopsis
In this paper, the theory of sliding mode control is employed to develop a fuzzy controller for uncertain dynamic time-delayed systems with series nonlinearities. The control method provides a simple way to achieve asymptotic stability of the uncertain time-delayed system. Other attractive features of the method include a minimal realization of the fuzzy controller in spite of the number of state variables, as well as insensitivity to the uncertainties and disturbances, In addition, the method is capable of handling the chattering problem inherent to the sliding mode control easily and e ectively. Also, this fuzzy sliding mode controller can be extended to handle the MIMO system. Simulation results are presented to demonstrate the power of the method.
π SIMILAR VOLUMES
In this article, a novel Adaptive Fuzzy Sliding Mode Control (AFSMC) methodology is proposed based on the integration of Sliding Mode Control (SMC) and Adaptive Fuzzy Control (AFC). Making use of the SMC design framework, we propose two fuzzy systems to be used as reaching and equivalent parts of th
## Abstract This paper is devoted to robust adaptive sliding mode control for timeβdelay systems with mismatched parametric uncertainties. Sufficient conditions for the existence of linear sliding surfaces are given in terms of linear matrix inequalities, by which the corresponding adaptive reachin
In this paper, a sliding mode control is proposed for the robust stabilization of uncertain linear input-delay systems with nonlinear parametric perturbations. The proposed sliding surface includes a predictor to compensate for the input delay of the system. A robust control law is derived to ensure