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
Adaptive fuzzy sliding-mode controller of uncertain nonlinear systems
β Scribed by Tai-Zu Wu; Yau-Tarng Juang
- Publisher
- Elsevier Science
- Year
- 2008
- Tongue
- English
- Weight
- 488 KB
- Volume
- 47
- Category
- Article
- ISSN
- 0019-0578
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β¦ Synopsis
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 sliding surfaces and the adaptive fuzzy sliding-mode controllers is proposed. The adaptive mechanism is also used to deal with unknown parameter perturbations and external disturbances. Two examples illustrate the feasibility of the proposed methods.
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## 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