Combined indirect and direct method for adaptive fuzzy output feedback control of nonlinear system |
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摘 要: | A novel control method for a general class of nonlinear systems using fuzzy logic systems (FLSs) is presertted. Indirect and direct methods are combined to design the adaptive fuzzy output feedback controller and a high-gain observer is used to estimate the derivatives of the system output. The closed-loop system is proven to be semiglobally uniformly ultimately bounded. In addition, it is shown that if the approximation accuracy of the fuzzy logic system is high enough and the observer gain is chosen sufficiently large, an arbitrarily small tracking error can be achieved. Simulation results verify the effectiveness of the newly designed scheme and the theoretical discussion.
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收稿时间: | 2 August 2005. |
Combined indirect and direct method for adaptive fuzzy output feedback control of nonlinear system |
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Authors: | Ding Quanxin Chen Haitong Jiang Changsheng Chen Zongji |
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Institution: | 1. Coll. of Automation Engineering, Beijing Univ. of Aeronautics & Astronautics, Beijing 100083, P. R. China 2. Coll. of Automation Engineering, Nanjing Univ. of Aeronautics & Astronautics, Nanjing 210016, P. R. China |
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Abstract: | A novel control method for a general class of nonlinear systems using fuzzy logic systems (FLSs) is presertted. Indirect and direct methods are combined to design the adaptive fuzzy output feedback controller and a high-gain observer is used to estimate the derivatives of the system output. The closed-loop system is proven to be semiglobally uniformly ultimately bounded. In addition, it is shown that if the approximation accuracy of the fuzzy logic system is high enough and the observer gain is chosen sufficiently large, an arbitrarily small tracking error can be achieved. Simulation results verify the effectiveness of the newly designed scheme and the theoretical discussion. |
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Keywords: | Nonlinear control systems Non-affine Combined indirect and direct method Adaptive fuzzy controller High-gain observer (HGO) |
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