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PREDICTING CHAOTIC TIME SERIES WITH IMPROVED LOCAL APPROXIMATIONS
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作者 muxiaowu LINLan ZHOUXiangdong 《Journal of Systems Science & Complexity》 SCIE EI CSCD 2004年第2期207-219,共13页
In this paper, new approaches for chaotic time series prediction areintroduced. We first summarize and evaluate the existing local prediction models, then proposeoptimization models and new algorithms to modify proced... In this paper, new approaches for chaotic time series prediction areintroduced. We first summarize and evaluate the existing local prediction models, then proposeoptimization models and new algorithms to modify procedures of local approximations. Themodification to the choice of sample sets is given, and the zeroth-order approximation is improvedby a linear programming method. Four procedures of first-order approximation are compared, andcorresponding modified methods are given. Lastly, the idea of nonlinear feedback to raise predictingaccuracy is put forward. In the end, we discuss two important examples, i.e. Lorenz system andRoessler system, and the simulation experiments indicate that the modified algorithms are effective. 展开更多
关键词 chaotic time series PREDICTION local approximations linear programming nonlinear feedback
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DISTURBANCE ATTENUATION FOR UNCERTAIN NONLINEAR CASCADED SYSTEMS
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作者 BIWeiping muxiaowu SUNYuqiang 《Journal of Systems Science & Complexity》 SCIE EI CSCD 2004年第3期318-324,共7页
In present paper, the disturbance attenuation problem of uncertain nonlinear cascaded systems is studied. Based on the adding one power integrator technique and recursive design, a feedback controller that solves the ... In present paper, the disturbance attenuation problem of uncertain nonlinear cascaded systems is studied. Based on the adding one power integrator technique and recursive design, a feedback controller that solves the disturbance attenuation problem is constructed for uncertain nonlinear cascaded systems with internal stability. 展开更多
关键词 UNCERTAIN nonlinear systems disturbance attenuation
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