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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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【References】
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
【Co-references】
Chinese Journal Full-text Database 10 Hits
1 HAN Li,XU Zhi-gao(Dept. of Power Engineering, Southeastern University, Nanjing 210096, China);Predictive Control with Improved RAN Network and Its Application[J];Power Engineering;2005-01
2 QI Wei gui,ZHU Xue li,DING Bao(Electric Engineering and Automation College,Harbin Institute of Technology,Harbin,Heilongjiang 150001,China);Model Simplification and Prediction Error Correction of Dynamic Matrix Control[J];Acta Electronica Sinica;2004-07
3 Xu Xiangyuan Mao Zongyuan 13;A self correcting dynamic matrix control for use with a level control container[J];INDUSTRIAL INSTRUMENTATION & AUTOMATION;1999-02
4 GONG Chi-kun,YAN Xue(College of Mechanical Engineering,University of Shanghai for Science and Technology,Shanghai 200093,China);Predictive control based on RBF neural network[J];Journal of University of Shanghai For Science and Technology;2005-05
5 ZHANG Jun, WANG Biao, JI Bing-yu, XIE Rong-hua, PEI Run ( School of Astonautics, Harbin Institute of Technology, Harbin 150001, China; Daqing Oilfield Limited Company, Daqing 163412,China);Receding horizon control for a class of nonlinear time-delay systems[J];Journal of Harbin Institute of Technology;2005-01
6 XU Chao,CHEN Zhi gang,SHAO Hui he (Automation Department,Shanghai Jiaotong University,Shanghai 200030,China);A Survey on Predictive Control Technique and Its Application[J];Control and Instruments In Chemical Industry;2002-03
7 LI Qun ming, XIONG Rong, CHU Jian (National Laboratory of Industrial Control Technology, Zhejiang University, Hangzhou, 310027,China);LOCALIZATION APPROACHES FOR INDOOR AUTONOMOUS MOBILE ROBOTS: A REVIEW[J];Robot;2003-06
8 Wei Dong1,2 Zhang Minglian1 1(School of Automation Science and Electrical Engineering,Beijing University of Aeronautics and Astronautics,Beijing 100083) 2(Department of Electrical Engineering and Automation,Beijing Institute of Civil Engineering and Architecture,Beijing 100044);Neural Network Nonlinear Inverse Control Based on Predictive Control Method[J];Computer Engineering and Applications;2005-01
9 XIE Li-chun(Lichun zhejiang Inolustry Polytechnic College,Shaoxing 312000,China);BP Neural Network Algorithm Improvements and Convergence Analysis[J];Computing Technology and Automation;2007-03
10 DU Fu-yin,XU Yang,CHEN Shu-wei(Intelligence Control Development Center,Southwest Jiaotong University,Chengdu Sichuan 610031,China);Smooth model switching scheme based on recurrent neural network model predictive control[J];Journal of Computer Applications;2006-06
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