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An Approach of Adaptive Fuzzy Modeling and Application to Inverted Pendulum Control

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3 Author(s)
Zhenkai Guo ; The Seventh Research Division, Beijing University of Aeronautics & Astronautics, Beijing 100083. E-mail: ; Jianqin Mao ; Ping Wang

An approach of adaptive fuzzy modeling based parameter optimization fuzzy tree for a class of nonlinear time-invariant systems is proposed, fuzzy state equation model based on the adaptive fuzzy tree algorithm is created, which is used to partition the workspace of nonlinear system adaptively. The model obtained by this new method is more accuracy and lower computational cost. The new method is applied to model and control the inverted pendulum system; the numerical simulation shows that the method is effective

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2006 6th World Congress on Intelligent Control and Automation  (Volume:1 )

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