Switching Set-Point Control of Nonlinear System Based on RBF Neural Network
Multiple controllers based on multiple radial based function neural network(RBFNN) models are used to control a nonlinear system to trace a set-point. Considering the nonlinearity of the system, when the set-point value is time variant, a controller based on a fixed structure RBFNN can not give a good control performance. A switching controller which switches among different controller based on different RBFNN is used to adapt the varing set-point value and improve the output reponse and control performance of the nonlinear system.
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- 3.Li, X.L., Wang, W.: Minimum Variance Based Multi-model Adaptive Control. In: Proc. IFAC World Congress, Beijing, China, pp. 325–329 (1999)Google Scholar
- 4.Li, X.L., Wang, W., Wang, S.N.: Multiple Model Adaptive Control for Discrete Time Systems. In: American Control Conference, Arlington, Virginia, USA, pp. 4820–4825 (2001)Google Scholar