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Control of Fractal Erosion of Safe Basins in a Holmes-Duffing System via Delayed Position Feedback 被引量:2

Control of Fractal Erosion of Safe Basins in a Holmes-Duffing System via Delayed Position Feedback
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摘要 A linear delayed position feedback control is applied to control the erosion of safe basins in a Holmes-Duffing system. The conditions of fractal erosion of the safe basin of the controlled system on the basis that the range of time delay leading to good control is obtained by the Melnikov method. It is found that the increasing time delay can reduce the basin erosion under a weak and positive feedback g^in. Then the evolutions of safe basins with time delay are presented in detail by the fourth Runge-Kutta and Monte-Carlo methods, which shows that the safe basin of the controlled Holmes Dulling system can be expanded, and its fractal can be reduced by the increasing time delay. These results suggest that delayed position feedbacks can be used as a good approach to control the erosion of safe basins. A linear delayed position feedback control is applied to control the erosion of safe basins in a Holmes-Duffing system. The conditions of fractal erosion of the safe basin of the controlled system on the basis that the range of time delay leading to good control is obtained by the Melnikov method. It is found that the increasing time delay can reduce the basin erosion under a weak and positive feedback g^in. Then the evolutions of safe basins with time delay are presented in detail by the fourth Runge-Kutta and Monte-Carlo methods, which shows that the safe basin of the controlled Holmes Dulling system can be expanded, and its fractal can be reduced by the increasing time delay. These results suggest that delayed position feedbacks can be used as a good approach to control the erosion of safe basins.
作者 SHANG Hui-Lin
出处 《Chinese Physics Letters》 SCIE CAS CSCD 2011年第1期36-38,共3页 中国物理快报(英文版)
基金 Supported by the National Natural Science Foundation of China under Grant No 10902071, Shanghai Municipal Education Commission under Grant No YYY08004, Shanghai Leading Academic Discipline Project under Grant No J51501, and Key Project of the National Natural Science Foundation of China under Grant No 11032009
关键词 Computational physics Statistical physics and nonlinear systems Computational physics Statistical physics and nonlinear systems
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参考文献13

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