Knowledge Commons of Institute of Automation,CAS
Parallel Adaptive Critic Designs of Optimal Control for Ice-Storage Air Conditioning Systems | |
Liao, Zehua1![]() ![]() | |
2019-12 | |
会议名称 | 2019 IEEE Symposium Series on Computational Intelligence (SSCI 2019) |
会议日期 | 2019-12 |
会议地点 | Xiamen, China |
摘要 | As a kind of distributed energy storage system, ice-storage air conditioning (IAC) system is an effective way for transferring cooling load. A parallel adaptive critic design method is constructed for solving the optimal control problem of IAC systems. Adaptive critic design is also called adaptive dynamic programming (ADP). The initial value function of the parallel ADP method is obtained by using particle swarm optimization (PSO) method to pre-train the weights of the neural networks. Another PSO algorithm is utilized in each iteration to achieve the target control, which avoids solving a nonlinear equation in traditional ADP algorithms. Finally, the efficiency of the parallel ADP algorithm will be illustrated through the experiment results. |
关键词 | Parallel adaptive critic design Adaptive dynamic programming Particle swarm optimization Ice-storage air conditioning |
收录类别 | EI |
语种 | 英语 |
七大方向——子方向分类 | 平行管理与控制 |
文献类型 | 会议论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/39595 |
专题 | 多模态人工智能系统全国重点实验室_复杂系统智能机理与平行控制团队 |
通讯作者 | Wei, Qinglai |
作者单位 | 1.Institute of Automation, Chinese Academy of Sciences, Beijing, China 2.University of Science and Technology Beijing, Beijing, China |
第一作者单位 | 中国科学院自动化研究所 |
通讯作者单位 | 中国科学院自动化研究所 |
推荐引用方式 GB/T 7714 | Liao, Zehua,Wei, Qinglai,Song, Ruizhuo. Parallel Adaptive Critic Designs of Optimal Control for Ice-Storage Air Conditioning Systems[C],2019. |
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