paper considers robust H, control of a class of nonlinear systems that can be represented by a heterogeneous model. A new controller design method using both-state feedback is proposed based on quadratic stability theory. A number of necessary and sufficient conditions are derived for quadratic stab
Fuzzy control of a class of multivariable nonlinear systems subject to parameter uncertainties: model reference approach
โ Scribed by H.K. Lam; F.H.F. Leung; P.K.S. Tam
- Publisher
- Elsevier Science
- Year
- 2001
- Tongue
- English
- Weight
- 276 KB
- Volume
- 26
- Category
- Article
- ISSN
- 0888-613X
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โฆ Synopsis
This paper presents the fuzzy control of a class of multivariable nonlinear systems subject to parameter uncertainties. The nonlinear plant tackled in this paper is an nthorder nonlinear system with n inputs. If the input matrix B inside the fuzzy plant model is invertible, a fuzzy controller can be designed such that the states of the closed-loop system will follow those of a user-deยฎned stable reference model despite the presence of parameter uncertainties. A numerical example will be given to show the design procedures and the merits of the proposed fuzzy controller.
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In this note, a new standard model reference control (NSMRC) to arbitrarily fast linear single-input single-output time-varying plants with relative degree one is presented. A modified version of standard model reference control (SMRC) structure is developed which incorporates the concept of variabl