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New stable adaptive fuzzy approach to control uncertain nonlinear SISO systems |
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| Authors: | F Khaber A Hamzaoui K Zehar N Essounbouli |
| Affiliation: | 1. QUERE Laboratory , Automatic Department , Setif University , 19000 Sétif, Algeria;2. CReSTIC Laboratory , GMP Department , Reims University , 10026 Troyes cedex, France jfkhaber@yahoo.fr;4. CReSTIC Laboratory , GMP Department , Reims University , 10026 Troyes cedex, France;5. QUERE Laboratory , Automatic Department , Setif University , 19000 Sétif, Algeria |
| Abstract: | This paper deals with the synthesis of a new robust adaptive fuzzy control for a class of nonlinear and disturbed single-input single-output (SISO) systems. To attenuate the effect of both of the approximation errors and the external disturbances to a prescribed level, two signals are added to the indirect adaptive fuzzy control law: the first deduced from a fuzzy system allows approximation errors and external disturbances to eliminated; the second signal deduced from the Riccati equation attenuates the effect of the residual errors to a prescribed level. To illustrate the efficiency of the proposed approach, a simulation example is presented. |
| Keywords: | Fuzzy systems Fuzzy approximation Adaptive fuzzy approach H ∞ tracking control Robust tracking design Nonlinear SISO systems |
