| Robust direct adaptive fuzzy control for nonlinear MIMO systems |
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| 作者姓名： | ZHANG Huaguang ZHANG Mingjun |
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| 作者单位： | School of Information Science and Engineering, Northeastern University, Shenyang 110004, China |
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| 基金项目： | 国家自然科学基金;教育部长江学者奖励计划 |
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| 摘 要： | For a class of nonlinear multi-input multi-output systems with uncertainty, a robust direct adaptive fuzzy control scheme was proposed. The feedback control law and adaptive law for parameters were derived based on Lyapunov design approach. The overall control scheme can guarantee that the tracking error converges in the small neighborhood of origin, and all signals of the closed-loop system are uniformly bounded. The main advantage of the proposed control scheme is that in each subsystem only one parameter vector needs to be adjusted on-line in the adaptive mechanism, and so the on-line computing burden is reduced. In addition, the proposed control scheme is a smooth control with no chattering phenomena. A simulation example was proposed to demonstrate the effectiveness of the proposed control algorithm.
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| 关 键 词： | fuzzy control nonlinear MIMO systems generalized fuzzy hyperbolic model (GFHM) adaptive control |
Robust direct adaptive fuzzy control for nonlinear MIMO systems |
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| ZHANG Huaguang,ZHANG Mingjun.Robust direct adaptive fuzzy control for nonlinear MIMO systems[J].Progress in Natural Science,2006,16(10):1098-1105. |
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| Authors: | ZHANG Huaguang ZHANG Mingjun |
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| Institution: | School of Information Science and Engineering,Northeastern University,Shenyang 110004,China |
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| Abstract: | For a class of nonlinear multi-input multi-output systems with uncertainty, a robust direct adaptive fuzzy control scheme was proposed. The feedback control law and adaptive law for parameters were derived based on Lyapunov design approach. The overall control scheme can guarantee that the tracking error converges in the small neighborhood of origin, and all signals of the closed-loop system are uniformly bounded. The main advantage of the proposed control scheme is that in each subsystem only one parameter vector needs to be adjusted on-line in the adaptive mechanism, and so the on-line computing burden is reduced. In addition, the proposed control scheme is a smooth control with no chattering phenomena. A simulation example was proposed to demonstrate the effectiveness of the proposed control algorithm. |
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| Keywords: | fuzzy control nonlinear MIMO systems generalized fuzzy hyperbolic model (GFHM) adaptive control |
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