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Predictive control Simulation Study Based on T-S Fuzzy Model

Predictive Control Simulation Study Based on T-S Fuzzy Model

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第三十届中国控制会议

作者： DU Shi-Jie,SHEN Qing-Bo Department of Information and control Engineering,Liaoning University of Petroleum &chemical Technology, Fushun 113001,P.R.china

＜正＞A T-S fuzzy model was established for nonlinear system by a fuzzy identification method,fuzzy predictive control was developed by combining with generalized predictive *** this paper,the fuzzy identification method was based on fast fuzzy clustering,premise parameter identification using multi-step random sampling method,fuzzy c clustering method, parameter identification of the conclusions using least *** identification method divided fuzzy clustering into two parts,compared with the previous method,it can greatly shorten the time and has a high recognition *** terms of the nonlinear system,T-S fuzzy model has a good description of features,combined with the moving optimization of generalized predictive control to achieve effective control of nonlinear *** simulation results show that the algorithm is effective.

关键词： T-S model Generalized Predictive control c-means clustering

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Signal Sub-control-area Division of Traffic complex Network based on Nodes Importance Assessment

Signal Sub-control-area Division of Traffic Complex Network ...

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第三十届中国控制会议

作者： WANG Li,YAN Pei-Zhou,LI Ying-Hong,LI Zheng-Xi Department of Automation,North china University of Technology,Beijing,100144,P.R.china

Sub-control-area division is an important step in regional traffic signal control system application and generally accomplished by using the distance between different nodes and traffic flow as *** is obviously uncertain and lack of theoretical *** the free-scale characteristics of traffic network,in this paper,node degree,node betweeness and high peak hour traffic flow are selected as indexes for traffic node importance assessment *** c-means clustering method is applied to hub nodes selection and hub node relative importance used for traffic signal control sub-area ***,a regional urban network including almost fifty nodes around chang’an Street in Beijing,china is used as trail *** result shows when clustering number is 3 and relative importance index is above 10,sub-control-area division of urban traffic weighted complex network is reasonable.

关键词： complex Traffic Network Signal control Sub-Area Division Node Importance Assessment Relative Importance c-means clustering

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