Multiple Models Fuzzy Decoupling Controller for a Nonlinear System
For a discrete-time nonlinear MIMO system, a multiple models fuzzy decoupling controller is designed. At each equilibrium point, the system is expanded into linear and nonlinear terms. The linear term is identified using one FLSs, while nonlinear term using other FLSs, which compose one system model. Then, all models got at all equilibrium points compose the multiple models set. At each instant, the best model is chosen out according to the switching index. Accordingly, the nonlinear term of the best model is viewed as measurable disturbance and eliminated using the feedforward strategy.
KeywordsEquilibrium Point Nonlinear Term Induction Motor Multiple Model Nonlinear MIMO System
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- 4.Lin, C.M., Mon, Y.J.: Decoupling Control by Hierarchical Fuzzy Sliding-Mode Controller. IEEE Transactions on Control Systems Techonology 4, 593–598 (2005)Google Scholar
- 5.Yue, H., Chai, T.Y.: Adaptive Decoupling Control of Multivariable Nonlinear Non-Minimum Phase Systems Using Neural Networks. In: Proceedings of the American Control Conference, pp. 513–514 (1998)Google Scholar