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| DOI： |
| Received:September 02, 2005Revised:April 17, 2006 |
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| Robust adaptive fuzzy control scheme for nonlinear system with uncertainty |
| Mingjun ZHANG, Huaguang ZHANG |
| (School of Information Science and Engineering, Northeastern University, Shenyang Liaoning 110004, China; Department of electrical Engineering, Beihua University, Jilin Jilin 132021, China) |
| Abstract: |
| In this paper, a robust adaptive fuzzy control scheme for a class of nonlinear system with uncertainty is proposed. First, using prior knowledge about the plant we obtain a fuzzy model, which is called the generalized fuzzy hyperbolic model (GFHM). Secondly, for the case that the states of the system are not available an observer is designed and a robust adaptive fuzzy output feedback control scheme is developed. The overall control system guarantees that the tracking error converges to a small neighborhood of origin and that all signals involved are uniformly bounded. The main advantages of the proposed control scheme are that the human knowledge about the plant under control can be used to design the controller and only one parameter in the adaptive mechanism needs to be on-line adjusted. |
| Key words: Fuzzy control Nonlinear systems Generalized fuzzy hyperbolic model Adaptive control Observer |
