机构

• 自动化研究所 [2]
• 长春光学精密机械与物... [1]
• 数学与系统科学研究院 [1]
• 沈阳自动化研究所 [1]

采集方式

• OAI收割 [5]

内容类型

• 期刊论文 [4]
• 会议论文 [1]

发表日期

• 2023 [1]
• 2020 [2]
• 2015 [1]
• 2008 [1]

学科主题

筛选

浏览/检索结果: 共5条，第1-5条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择题名升序题名降序提交时间升序提交时间降序作者升序作者降序发表日期升序发表日期降序 Data Generation Feedback Relearning Control for Unmodeled Nonlinear Systems 期刊论文  OAI收割 IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTATIONAL INTELLIGENCE, 2023, 页码: 12 作者:  Zhang, Yong;  Mu, Chaoxu;  Zhao, Dongbin   |  收藏  |  浏览/下载：21/0  |  提交时间：2023/11/16 Data models  Real-time systems  Heuristic algorithms  Mathematical models  Adaptation models  Approximation algorithms  Cost function  Data generation model  feedback relearning control  delayed neural network  reinforcement learning  unmodeled nonlinear system   Greedy Adaptive Search: A New Approach for Large-Scale Irregular Packing Problems in the Fabric Industry 期刊论文  OAI收割 IEEE ACCESS, 2020, 卷号: 8, 页码: 91476-91487 作者:  Hu, Xiaoyin;  Li, Jianshu;  Cui, Jinchuan   |  收藏  |  浏览/下载：54/0  |  提交时间：2020/09/23 Fabrics  Search problems  Industries  Layout  Heuristic algorithms  Mathematical model  Biological system modeling  Evaluation function  fabric  no-fit polygon  packing  restricted local search   Reinforcement Learning Tracking Control for Robotic Manipulator With Kernel-Based Dynamic Model 期刊论文  OAI收割 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2020, 卷号: 31, 期号: 9, 页码: 3570-3578 作者:  Hu YZ(胡亚洲);  Wang WX(王文学);  Liu H(刘皓);  Liu LQ(刘连庆)   |  收藏  |  浏览/下载：33/0  |  提交时间：2020/09/26 Manipulator dynamics  Heuristic algorithms  Task analysis  Kernel  Adaptation models  Kernel function  reinforcement learning (RL)  reward function  robotics tracking control   GrDHP: A General Utility Function Representation for Dual Heuristic Dynamic Programming 期刊论文  OAI收割 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2015, 卷号: 26, 期号: 3, 页码: 614-627 作者:  Ni, Zhen;  He, Haibo;  Zhao, Dongbin;  Xu, Xin;  Prokhorov, Danil V. 收藏  |  浏览/下载：38/0  |  提交时间：2015/09/21 Adaptive control  adaptive dynamic programming (ADP)  dual heuristic dynamic programming (DHP)  general utility function  goal representation  reinforcement learning (RL)   Algorithm research of flexible graphplan based on heuristic (EI CONFERENCE) 会议论文  OAI收割 9th International Conference for Young Computer Scientists, ICYCS 2008, November 18, 2008 - November 21, 2008, Zhang Jia Jie, Hunan, China 作者:  Xu S.;  Wang X. 收藏  |  浏览/下载：19/0  |  提交时间：2013/03/25 Classic Graphplan has too much restriction on capturing the full subtlety of many real problems. Flexible Graphplan is defined which supports the soft constraints often found in reality. Heuristic concept is introduced to the process of plan extraction in flexible graphplan in order to improve the efficiency of plan extraction and the quality of plan. A novel algorithm using the new heuristic function which is applied by improved sum mutex heuristic to deal with planning problems is proposed. Sum mutex heuristic which is in common use as heuristic function takes into account only static propositional mutexes  and ignores the mutexes of actions. The performance of the new algorithm on many benchmark problems is remarkably robust. It can solve many planning problems  which can't be solved by the heuristic state space search planning system using sum mutex heuristic. 2008 IEEE.