Fuzzy Modeling and Impulsive Control of a Memristor-Based Chaotic System
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Abstract
We mainly investigate the issues of fuzzy modeling and impulsive control of a memristor-based chaotic system and present a memristor-based chaotic system as the Takagi-Sugeno model-based fuzzy system. Then, based on the impulsive control theory of dynamical systems, a criterion ensuring impulsive stabilization of the memristor-based chaotic system is derived for the first time. An illustrative example is given to verify the effectiveness of the control scheme.
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ZHONG Qi-Shui, YU Yong-Bin, YU Jue-Bang. Fuzzy Modeling and Impulsive Control of a Memristor-Based Chaotic System[J]. Chin. Phys. Lett., 2010, 27(2): 020501. DOI: 10.1088/0256-307X/27/2/020501
ZHONG Qi-Shui, YU Yong-Bin, YU Jue-Bang. Fuzzy Modeling and Impulsive Control of a Memristor-Based Chaotic System[J]. Chin. Phys. Lett., 2010, 27(2): 020501. DOI: 10.1088/0256-307X/27/2/020501
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ZHONG Qi-Shui, YU Yong-Bin, YU Jue-Bang. Fuzzy Modeling and Impulsive Control of a Memristor-Based Chaotic System[J]. Chin. Phys. Lett., 2010, 27(2): 020501. DOI: 10.1088/0256-307X/27/2/020501
ZHONG Qi-Shui, YU Yong-Bin, YU Jue-Bang. Fuzzy Modeling and Impulsive Control of a Memristor-Based Chaotic System[J]. Chin. Phys. Lett., 2010, 27(2): 020501. DOI: 10.1088/0256-307X/27/2/020501
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