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Adaptive Consensus Control for a Class of Nonlinear Multiagent Time-Delay Systems Using Neural Networks 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2014, 卷号: 25, 期号: 6, 页码: 1217-1226
作者:  Chen, C. L. Philip;  Wen, Guo-Xing;  Liu, Yan-Jun;  Wang, Fei-Yue
收藏  |  浏览/下载：187/0  |  提交时间：2015/08/12
Consensus Control  Lyapunov-krasovskii Functional  Neural Networks (Nns)  Nonlinear Multiagent Systems  Time Delay  
A Survey on CPG-Inspired Control Models and System Implementation 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2014, 卷号: 25, 期号: 3, 页码: 441-456
作者:  Yu, Junzhi;  Tan, Min;  Chen, Jian;  Zhang, Jianwei
收藏  |  浏览/下载：192/0  |  提交时间：2015/08/12
Bioinspired Control  Central Pattern Generator (Cpg)  Neural Network  Parameter Tuning  Robotic Applications  
Policy Iteration Adaptive Dynamic Programming Algorithm for Discrete-Time Nonlinear Systems 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2014, 卷号: 25, 期号: 3, 页码: 621-634
作者:  Liu, Derong;  Wei, Qinglai
Adobe PDF(2635Kb)  |  收藏  |  浏览/下载：200/81  |  提交时间：2015/08/12
Adaptive Critic Designs  Adaptive Dynamic Programming (Adp)  Approximate Dynamic Programming  Discrete-time Policy Iteration  Neural Networks  Neurodynamic Programming  Nonlinear Systems  Optimal Control  Reinforcement Learning  
What Are the Differences Between Bayesian Classifiers and Mutual-Information Classifiers? 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2014, 卷号: 25, 期号: 2, 页码: 249-264
作者:  Hu, Bao-Gang
浏览  |  Adobe PDF(1314Kb)  |  收藏  |  浏览/下载：194/25  |  提交时间：2015/08/12
Abstaining Classifier  Bayes  Cost-sensitive Learning  Entropy  Error Types  Mutual Information  Reject Types  
Decentralized Stabilization for a Class of Continuous-Time Nonlinear Interconnected Systems Using Online Learning Optimal Control Approach 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2014, 卷号: 25, 期号: 2, 页码: 418-428
作者:  Liu, Derong;  Wang, Ding;  Li, Hongliang
Adobe PDF(1311Kb)  |  收藏  |  浏览/下载：262/102  |  提交时间：2015/08/12
Adaptive Dynamic Programming  Decentralized Control  Large-scale Systems  Neural Networks  Nonlinear Interconnected Systems  Optimal Control  Policy Iteration  Reinforcement Learning