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| Received:September 07, 2008Revised:January 12, 2010 |
| 基金项目:This work was supported by the National Natural Science Foundation of China (No. 60974028, 60804021). |
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| Improved adaptive fuzzy control for MIMO nonlinear time-delay systems |
| Zhenbin DU,Zifang QU |
| (School of Computer Science and Technology, Yantai University;College of Mathematics and Information Science, Shandong Institute of Business and Technology) |
| Abstract: |
| This paper presents an improved observer-based indirect adaptive fuzzy control scheme for multiinput-multioutput (MIMO) nonlinear time-delay systems. The control scheme synthesizes adaptive fuzzy control with adaptive fuzzy identification. An observer is designed to observe the system state, and an identifier is developed to identify the unknown parts of the system. The update laws for parameters utilize two types of errors in the adaptive time-delay fuzzy logic systems, the observation error and the identification error. Performance analysis proves the superiority of the update laws in terms of faster and improved tracking and parameter convergence. Simulation results of two-link manipulator demonstrate the effectiveness of the improved control scheme. |
| Key words: MIMO Time-delay Nonlinear systems Adaptive fuzzy control Observer Identification |
