QQ客服 官方微博 反馈留言

浏览/检索结果: 共4条，第1-4条 帮助 限定条件 发表日期：2021     已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择作者升序作者降序题名升序题名降序发表日期升序发表日期降序提交时间升序提交时间降序 Learning Control for Air Conditioning Systems via Human Expressions 期刊论文 IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2021, 卷号: 68, 期号: 8, 页码: 7662-7671 作者:  Wei, Qinglai;  Li, Tao;  Liu, Derong 收藏  |  浏览/下载：58/0  |  提交时间：2021/06/15 Adaptive dynamic programming  air conditioning control  deep learning (DL)  deep Q-network (DQN)  human expressions  optimal control  reinforcement learning (RL)  Q-learning   Sliding-Mode Surface-Based Approximate Optimal Control for Uncertain Nonlinear Systems With Asymptotically Stable Critic Structure 期刊论文 IEEE TRANSACTIONS ON CYBERNETICS, 2021, 卷号: 51, 期号: 6, 页码: 2858-2869 作者:  Zhao, Bo;  Liu, Derong;  Alippi, Cesare 收藏  |  浏览/下载：53/0  |  提交时间：2021/08/15 Optimal control  Perturbation methods  Nonlinear systems  Uncertainty  Cost function  Stability analysis  Adaptive systems  Adaptive critic designs  adaptive dynamic programming (ADP)  optimal control  sliding mode surface (SMS)  unknown mismatched perturbations   Robust Exponential Synchronization for Memristor Neural Networks With Nonidentical Characteristics by Pinning Control 期刊论文 IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2021, 卷号: 51, 期号: 3, 页码: 1966-1980 作者:  Li, Yueheng;  Luo, Biao;  Liu, Derong;  Yang, Yin;  Yang, Zhanyu 收藏  |  浏览/下载：53/0  |  提交时间：2021/03/29 Synchronization  Memristors  Biological neural networks  Delays  Neurons  Hysteresis  Error bound  exponential synchronization  memristor-based neural networks (MNNs)  nonidentical characteristics  pinning control  stable region   Adaptive Dynamic Programming for Control: A Survey and Recent Advances 期刊论文 IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2021, 卷号: 51, 期号: 1, 页码: 142-160 作者:  Liu, Derong;  Xue, Shan;  Zhao, Bo;  Luo, Biao;  Wei, Qinglai 收藏  |  浏览/下载：28/0  |  提交时间：2021/03/08 Adaptive critic designs (ACDs)  adaptive dynamic programming  approximate dynamic programming  intelligent control  learning control  neural dynamic programming  neuro-dynamic programming  optimal control  reinforcement learning (RL)