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Stabilizing controller design for uncertain nonlinear systems using fuzzy models
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DOI：10.1109/91.755395.png)
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Abstract
En 中文
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.
Keywords:
fuzzy modeling
Lyapunov's method
stability
uncertain systems
Journal
IF:
11.9
Papers:
4.9K
Citations:
2.9W
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