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An integrated scheme of neural network and optimal predictive control
引用本文:WenLi GuohuanLou XuyanTu LiPeng. An integrated scheme of neural network and optimal predictive control[J]. 北京科技大学学报(英文版), 2002, 9(4): 302-304
作者姓名:WenLi GuohuanLou XuyanTu LiPeng
作者单位:[1]DepartmentofAutomation,HebeiInstituteofTechnology,Tangshan063009,China [2]InformationEngineeringSchool,UniversityofScienceandTechnologyBeijing,Beijing100083,China
摘    要:An approach of adaptive predictive control with a new structure and a fast algorithm of neural network (NN) is proposed. NN modeling and optimal predictive control are combined to achieve both accuracy and good control performance. The output of nonlinear network model is adopted as a measured disturbance that is therefore weakened in predictive feed-forward control. Simulation and practical application show the effectiveness of control by the proposed approach.

关 键 词:神经网络 最优预测控制 自适应预测控制 非线性目标

An integrated scheme of neural network and optimal predictive control
Li Peng,Wen Li,Guohuan Lou,Xuyan Tu. An integrated scheme of neural network and optimal predictive control[J]. Journal of University of Science and Technology Beijing, 2002, 9(4): 302-304
Authors:Li Peng  Wen Li  Guohuan Lou  Xuyan Tu
Abstract:An approach of adaptive predictive control with a new structure and a fast algorithm of neural network (NN) is proposed. NN modeling and optimal predictive control are combined to achieve both accuracy and good control performance. The output of nonlinear network model is adopted as a measured disturbance that is therefore weakened in predictive feed-forward control. Simulation and practical application show the effectiveness of control by the proposed approach.
Keywords:neural network (NN)  optimal predictive control  nonlinear objective
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