Modeling, Identification and Control of a Class of Nonlinear System
QUAN Yongbing
ZHANG Huaguang
Abstract：A new hyperbolic model is proposed for the complex nonlinear system. The hyperbolic model can be easily derived from a set of fuzzy rules. Also it can be seen as a neural network model, so we can learn the model parameter by back-propagation (BP) algorithm. Also this model can be seen as the extension of linear model, so many results of linear system theory can be applied to analyze stability of closed-loop system. At last we propose a method of designing the H∞ controller for the hyperbolic model. The results of simulation prove its feasibility.
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Publication Date：2001-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：6( 185-190 )