Intelligent Control of Tent Map
碩士 === 義守大學 === 電機工程學系 === 90 === Abstract This thesis focuses on the investigation of the intelligent control for one-dimensional tent map. The method of pole placement is proposed to design a proportional amplifier to stabilize chaotic systems. In addition, the theory of gr...
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| Format: | Others |
| Language: | zh-TW |
| Published: |
2002
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| Online Access: | http://ndltd.ncl.edu.tw/handle/64332250391009974927 |
| Summary: | 碩士 === 義守大學 === 電機工程學系 === 90 === Abstract
This thesis focuses on the investigation of the intelligent control for one-dimensional tent map. The method of pole placement is proposed to design a proportional amplifier to stabilize chaotic systems. In addition, the theory of grey system is applied to design a grey predictor to accelerate the response of the system. By computer simulation, the results show that both the time of convergence and the control energy can be ameliorate. Finally, the adaptive-network-based fuzzy inference system is presented to promote the performance of the chaos control.
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