Optimal control of complex systems based on improved dual heuristic dynamic programming algorithm
type: Item
instance of: scholarly article
title: Optimal control of complex systems based on improved dual heuristic dynamic programming algorithm
zbMATH Open document ID: 1426.93366
DOI: 10.1155/2017/5476415
author: Hui Li
author: Yongsui Wen
author: Wenjie Sun
published in: Mathematical Problems in Engineering
publication date: 2018-11-05T00:00:00Z
review text: Summary: 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 difficulty 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. Through constructing three kinds of network structures, the paper gives the detailed realization process of the DHP technique in the ELM. The 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 verified by the simulation that compares DHP and HDP algorithms based on ELM and BP neural network. The algorithm can also be applied to solve the data modeling and optimal control problems of similar complex systems.
Mathematics Subject Classification ID: 93E20
Mathematics Subject Classification ID: 93C55
Mathematics Subject Classification ID: 90C39
Mathematics Subject Classification ID: 93C10
zbMATH DE Number: 6972223
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1155/2017/5476415
OpenAlex ID: W2764182802
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description: scientific article; zbMATH DE number 6972223