| Fuzzy Modeling, Tracking Control and Synchronization of the Rossler''''s Chaotic System |
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| 引用本文： | 方建安,范丹丹. Fuzzy Modeling, Tracking Control and Synchronization of the Rossler''''s Chaotic System[J]. 东华大学学报(英文版), 2004, 21(3) |
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| 作者姓名： | 方建安 范丹丹 |
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| 作者单位： | College of Information Science & Technology，Donghua University，Shanghai，20051，P.R.China，College of Information Science & Technology，Donghua University，Shanghai，20051，P.R.China |
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| 摘 要： | IntroductionInrecentyears,therehasbeenincreasinginterestinthestudyofchaoticsysteminthefieldofnonlinearscience[12].Chaosisastochasticlikeprocessoccurringinacertainsystem.Ononehand,allthetheoryofautomaticcontrolisbasedonthemathematicalmodeloftheobjectundercontrol.Aswellknown,withrespecttoasimplesystem,thesystemmodelingapproachmainlyincludesmechanismmodelingandsystemidentification,andthesemethodsareeffectivewithahighprecisionandreliability.However,withrespecttocomplexsystem,itisnouseofthetraditi…
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Fuzzy Modeling, Tracking Control and Synchronization of the Rossler''''s Chaotic System |
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| FANG Jian-an FAN Dan-danCollege of Information Science , Technology,Donghua University,Shanghai,,P.R.China. Fuzzy Modeling, Tracking Control and Synchronization of the Rossler''''s Chaotic System[J]. Journal of Donghua University, 2004, 21(3) |
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| Authors: | FANG Jian-an FAN Dan-danCollege of Information Science & Technology Donghua University Shanghai P.R.China |
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| Affiliation: | College of Information Science & Technology, Donghua University, Shanghai, 20051,P.R.China |
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| Abstract: | In this paper, a novel method to model, track control and synchronize the Rossler's chaotic system is proposed. The fuzzy logical system is used so that the fuzzy inference rule is transferred into a type of variable coefficient nonlinear ordinary differential equation. Consequently the model of the chaotic system is obtained. Then a fuzzy tracking control and a fuzzy synchronization for chaotic systems is proposed as well. First, a known tracking control for the Rossler's system is used in this paper. We represent the Rossler's chaotic and control systems into fuzzy inference rules. Then the variable coefficient nonlinear ordinary differential equation is also got. Simulation results show that such an approach is effective and has a high precision. |
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| Keywords: | fuzzy modeling tracking control synchronization variable coefficient nonlinear ordinary differential equation |
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