- 【SCI】Optimal Control of Complex Systems Based on Improved Dual Heuristic Dynamic Programming Algorithm
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- 所属单位：电气与电子工程学院
- 教研室：电气与电子工程学院
- 发表刊物：Mathematical Problems in Engineering
- 项目来源：国家自然科学基金项目
- 摘要：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
- 合写作者：李慧
- 第一作者：李慧
- 论文类型：期刊论文
- 页面范围：1
- 是否译文：否
- 发表时间：2017-10-09
