Observer-Based Fuzzy Control for Memristive Circuit Systems
This paper proposes an observer-based fuzzy control scheme for a class of memristive chaotic circuit systems. First, the Takagi-Sugeno fuzzy model is adopted to reconstruct the nonlinear chaotic circuit system. Next, based on the proposed fuzzy model, an observer-based fuzzy controller is developed...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2018-01-01
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| Series: | Complexity |
| Online Access: | http://dx.doi.org/10.1155/2018/8731048 |
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| _version_ | 1832551942541279232 |
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| author | Qian Ye Xuyang Lou |
| author_facet | Qian Ye Xuyang Lou |
| author_sort | Qian Ye |
| collection | DOAJ |
| description | This paper proposes an observer-based fuzzy control scheme for a class of memristive chaotic circuit systems. First, the Takagi-Sugeno fuzzy model is adopted to reconstruct the nonlinear chaotic circuit system. Next, based on the proposed fuzzy model, an observer-based fuzzy controller is developed to estimate the states and stabilize the origin. Third, the results are extended to explore the L∞-gain observer-based fuzzy control for the chaotic system with disturbances. Finally, simulation results are also addressed to show the effectiveness of the proposed control scheme. |
| format | Article |
| id | doaj-art-406c1f87287a495088006debcf82bda2 |
| institution | Kabale University |
| issn | 1076-2787 1099-0526 |
| language | English |
| publishDate | 2018-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Complexity |
| spelling | doaj-art-406c1f87287a495088006debcf82bda22025-02-03T06:00:02ZengWileyComplexity1076-27871099-05262018-01-01201810.1155/2018/87310488731048Observer-Based Fuzzy Control for Memristive Circuit SystemsQian Ye0Xuyang Lou1Wuxi Institute of Technology, Wuxi 214121, ChinaInstitute of System Engineering, Jiangnan University, Wuxi 214122, ChinaThis paper proposes an observer-based fuzzy control scheme for a class of memristive chaotic circuit systems. First, the Takagi-Sugeno fuzzy model is adopted to reconstruct the nonlinear chaotic circuit system. Next, based on the proposed fuzzy model, an observer-based fuzzy controller is developed to estimate the states and stabilize the origin. Third, the results are extended to explore the L∞-gain observer-based fuzzy control for the chaotic system with disturbances. Finally, simulation results are also addressed to show the effectiveness of the proposed control scheme.http://dx.doi.org/10.1155/2018/8731048 |
| spellingShingle | Qian Ye Xuyang Lou Observer-Based Fuzzy Control for Memristive Circuit Systems Complexity |
| title | Observer-Based Fuzzy Control for Memristive Circuit Systems |
| title_full | Observer-Based Fuzzy Control for Memristive Circuit Systems |
| title_fullStr | Observer-Based Fuzzy Control for Memristive Circuit Systems |
| title_full_unstemmed | Observer-Based Fuzzy Control for Memristive Circuit Systems |
| title_short | Observer-Based Fuzzy Control for Memristive Circuit Systems |
| title_sort | observer based fuzzy control for memristive circuit systems |
| url | http://dx.doi.org/10.1155/2018/8731048 |
| work_keys_str_mv | AT qianye observerbasedfuzzycontrolformemristivecircuitsystems AT xuyanglou observerbasedfuzzycontrolformemristivecircuitsystems |