Knowledge Commons of Institute of Automation,CAS
Optimal Control for Discrete-Time Nonlinear Systems with Actuator Saturation Based on Generalized Policy Iteration Adaptive Dynamic Programming Algorithm | |
Lin Q(林桥); Qinglai Wei; Bo Zhao | |
2017 | |
会议名称 | the 14th International Symposium on Neural Networks (ISNN 2017) |
会议日期 | 2017-6-21 |
会议地点 | Sapporo, Hokkaido, Japan |
摘要 | In this study, a nonquadratic performance function is introduced to overcome the saturation nonlinearity in actuators. Then, a novel generalized policy iteration Adaptive dynamic programming algorithm is developed to deal with the optimal control problem. Two neural networks are introduced to approximate the control law and performance index function and one simulation example is given to illustrate the convergence and feasibility of the developed algorithm. |
收录类别 | EI |
文献类型 | 会议论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/14349 |
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 |
作者单位 | Institute of Automation, Chinese Academy of Sciences |
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 | Lin Q,Qinglai Wei,Bo Zhao. Optimal Control for Discrete-Time Nonlinear Systems with Actuator Saturation Based on Generalized Policy Iteration Adaptive Dynamic Programming Algorithm[C],2017. |
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文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
paper15.pdf(149KB) | 会议论文 | 开放获取 | CC BY-NC-SA | 浏览 下载 |
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