Please use this identifier to cite or link to this item:
http://acervodigital.unesp.br/handle/11449/9658
- Title:
- Stabilizing controller design for uncertain nonlinear systems using fuzzy models
- Universidade Estadual Paulista (UNESP)
- Purdue Univ
- 1063-6706
- A Lyapunov-based stabilizing control design method for uncertain nonlinear dynamical systems using fuzzy models is proposed. The controller is constructed using a design model of the dynamical process to be controlled. The design model is obtained from the truth model using a fuzzy modeling approach. The truth model represents a detailed description of the process dynamics. The truth model is used in a simulation experiment to evaluate the performance of the controller design. A method for generating local models that constitute the design model is proposed. Sufficient conditions for stability and stabilizability of fuzzy models using fuzzy state-feedback controllers are given. The results obtained are illustrated with a numerical example involving a four-dimensional nonlinear model of a stick balancer.
- 1-Apr-1999
- IEEE Transactions on Fuzzy Systems. New York: IEEE-Inst Electrical Electronics Engineers Inc., v. 7, n. 2, p. 133-142, 1999.
- 133-142
- Institute of Electrical and Electronics Engineers (IEEE)
- fuzzy modeling
- Lyapunov's method
- stability
- uncertain systems
- http://dx.doi.org/10.1109/91.755395
- Acesso restrito
- outro
- http://repositorio.unesp.br/handle/11449/9658
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