Knowledge Commons of Institute of Automation，CAS
| A neural-network-based iterative GDHP approach for solving a class of nonlinear optimal control problems with control constraints | |
Wang, Ding1 ; Liu, Derong1,2; Zhao, Dongbin1; Huang, Yuzhu1; Zhang, Dehua1
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| 发表期刊 | NEURAL COMPUTING & APPLICATIONS
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| 2013-02-01 | |
| 卷号 | 22期号:2页码:219-227 |
| 文章类型 | Article |
| 摘要 | In this paper, a novel neural-network-based iterative adaptive dynamic programming (ADP) algorithm is proposed. It aims at solving the optimal control problem of a class of nonlinear discrete-time systems with control constraints. By introducing a generalized nonquadratic functional, the iterative ADP algorithm through globalized dual heuristic programming technique is developed to design optimal controller with convergence analysis. Three neural networks are constructed as parametric structures to facilitate the implementation of the iterative algorithm. They are used for approximating at each iteration the cost function, the optimal control law, and the controlled nonlinear discrete-time system, respectively. A simulation example is also provided to verify the effectiveness of the control scheme in solving the constrained optimal control problem. |
| 关键词 | Adaptive Critic Designs Adaptive Dynamic Programming Approximate Dynamic Programming Neural Dynamic Programming Neural Networks Optimal Control Reinforcement Learning |
| WOS标题词 | Science & Technology ; Technology |
| 关键词[WOS] | ADAPTIVE CRITIC DESIGNS ; DISCRETE-TIME-SYSTEMS ; FEEDBACK-CONTROL ; REINFORCEMENT ; ADP |
| 收录类别 | SCI |
| 语种 | 英语 |
| WOS研究方向 | Computer Science |
| WOS类目 | Computer Science, Artificial Intelligence |
| WOS记录号 | WOS:000313657600004 |
| 引用统计 | |
| 文献类型 | 期刊论文 |
| 条目标识符 | http://ir.ia.ac.cn/handle/173211/3518 |
| 专题 | 多模态人工智能系统全国重点实验室_平行智能技术与系统团队 |
| 作者单位 | 1.Chinese Acad Sci, Inst Automat, Key Lab Complex Syst & Intelligence Sci, Beijing 100190, Peoples R China 2.Univ Illinois, Dept Elect & Comp Engn, Chicago, IL 60607 USA |
| 第一作者单位 | 中国科学院自动化研究所 |
| 推荐引用方式 GB/T 7714 | Wang, Ding,Liu, Derong,Zhao, Dongbin,et al. A neural-network-based iterative GDHP approach for solving a class of nonlinear optimal control problems with control constraints[J]. NEURAL COMPUTING & APPLICATIONS,2013,22(2):219-227. |
| APA | Wang, Ding,Liu, Derong,Zhao, Dongbin,Huang, Yuzhu,&Zhang, Dehua.(2013).A neural-network-based iterative GDHP approach for solving a class of nonlinear optimal control problems with control constraints.NEURAL COMPUTING & APPLICATIONS,22(2),219-227. |
| MLA | Wang, Ding,et al."A neural-network-based iterative GDHP approach for solving a class of nonlinear optimal control problems with control constraints".NEURAL COMPUTING & APPLICATIONS 22.2(2013):219-227. |
| 条目包含的文件 | ||||||
| 文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
| [J-2013-NCA] A neura（507KB） | 期刊论文 | 作者接受稿 | 开放获取 | CC BY-NC-SA | 浏览 | |
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