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《》 2004-03
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Dynamic Matrix Predictive Control Based on BP Neural Networks Predicted

ZHANG Wei Qing WANG Hui (The College of Electric & Infomation Engineering of Hunam University ,Changsha, Hunan,410082,China)  
A new DMC algorithm using BP neural networks as predictive model was proposed. BP neural networks was employed to identify model of the controlled plant and to produce predictive output. Receding horizon optimization and revising feedback were used in DMC algorithm. In the method, the problem that nonlinear and time - variety plant were difficult to build model was solved. Simulation results demonsrate the feasibility of the proposed algorithm.
【CateGory Index】: TP183
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China Proceedings of conference Full-text Database 1 Hits
1 LIU Jun-hong1,2,LI Qing1,ZHANG Wei-cun1,ZHANG Wei1(1.School of Information Engineering,University of Science and Technology Beijing,Beijing 100083,China;2.Department of Computer,Beijing Union University Pinggu College,Beijing 101200,China);DMC algorithm with predictive error compensation based on neural networks[A];[C];2007
Chinese Journal Full-text Database 10 Hits
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