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Affiliation of Author(s):电气与电子工程学院
Teaching and Research Group:电气与电子工程学院
Journal:Mathematical Problems in Engineering
Funded by:国家自然科学基金项目
Abstract:When applied to solving the data modeling and optimal control problems of complex systems, the dual heuristic dynamic programming (DHP) technique, which is based on the BP neural network algorithm (BP-DHP), has difculty in prediction accuracy, slow convergence speed, poor stability, and so forth. In this paper, a dual DHP technique based on Extreme Learning Machine (ELM) algorithm (ELM-DHP) was proposed. Trough constructing three kinds of network structures, the paper gives the detailed realization process of the DHP technique in the ELM. Te controller designed upon the ELM-DHP algorithm controlled a molecular distillation system with complex features, such as multivariability, strong coupling, and nonlinearity. Finally, the effectiveness of the algorithm is verifed by the simulation that compares DHP and HDP algorithms based on ELM and BP neural network. Te algorithm can also be applied to solve the data modeling and optimal control problems of similar complex systems
Co-author:李慧
First Author:lihui
Indexed by:Journal paper
Page Number:1
Translation or Not:no
Date of Publication:2017-10-09