Intelligent systems may be viewed as a framework for solving the problems of nonlinear system control. The intelligence of the system in the nonlinear or changing environment is used to recognize in which environment the system currently resides and to service it appropriately. This paper presents a
✦ LIBER ✦
Globally stable direct fuzzy model reference adaptive control
✍ Scribed by Sašo Blažič; Igor Škrjanc; Drago Matko
- Publisher
- Elsevier Science
- Year
- 2003
- Tongue
- English
- Weight
- 872 KB
- Volume
- 139
- Category
- Article
- ISSN
- 0165-0114
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The equivalence of direct and indirect model re[~:rence adaptive control for a singleinput single-output linear time-im;ariant unknown plant with known gain kp can be shown using a spec(fic parametrization.
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In this paper, a model reference adaptive fuzzy controller with the adaptivity achieved by tuning both the scaling factors and the control rules is presented. The proposed tuning strategy includes two parts: (1) by referring a reference trajectory created in the linguistic space to tune the scaling