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Robust synchronization of memristive neural networks with strong mismatch characteristics via pinning control 期刊论文
NEUROCOMPUTING, 2018, 卷号: 289, 页码: 144-154
作者:  Li, Yueheng;  Luo, Biao;  Liu, Derong;  Yang, Zhanyu
收藏  |  浏览/下载：213/0  |  提交时间：2018/10/10
Memristive Neural Networks  Robust Synchronization  Mismatch Characteristics  Pinning Control  
Neural network robust tracking control with adaptive critic framework for uncertain nonlinear systems 期刊论文
NEURAL NETWORKS, 2018, 卷号: 97, 页码: 11-18
作者:  Wang, Ding;  Liu, Derong;  Zhang, Yun;  Li, Hongyi
收藏  |  浏览/下载：198/0  |  提交时间：2018/10/10
Adaptive Critic Designs  Dynamical Uncertainty  Learning Systems  Neural Networks  Optimal Control  Robust Tracking Control  
Adaptive dynamic programming-based stabilization of nonlinear systems with unknown actuator saturation 期刊论文
NONLINEAR DYNAMICS, 2018, 卷号: 93, 期号: 4, 页码: 2089-2103
作者:  Zhao, Bo;  Jia, Lihao;  Xia, Hongbing;  Li, Yuanchun
浏览  |  Adobe PDF(1069Kb)  |  收藏  |  浏览/下载：369/130  |  提交时间：2018/10/10
Adaptive Dynamic Programming  Unknown Actuator Saturation  Continuous-time Nonlinear Systems  Stabilizing Control  Neural Networks  
Error Bound Analysis of Q-Function for Discounted Optimal Control Problems With Policy Iteration 期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2017, 卷号: 47, 期号: 7, 页码: 1207-1216
作者:  Yan, Pengfei;  Wang, Ding;  Li, Hongliang;  Liu, Derong
Adobe PDF(625Kb)  |  收藏  |  浏览/下载：314/76  |  提交时间：2017/09/12
Adaptive Dynamic Programming (Adp)  Error Analysis  Nonlinear Systems  Policy Iteration  Q-function  
Observer-critic structure-based adaptive dynamic programming for decentralised tracking control of unknown large-scale nonlinear systems 期刊论文
INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE, 2017, 卷号: 48, 期号: 9, 页码: 1978-1989
作者:  Zhao, Bo;  Liu, Derong;  Yang, Xiong;  Li, Yuanchun
浏览  |  Adobe PDF(1233Kb)  |  收藏  |  浏览/下载：295/109  |  提交时间：2017/07/18
Adaptive Dynamic Programming  Decentralised Tracking Control  Unknown Large-scale Nonlinear Systems  Observer-critic Structure  Neural Networks  
Self-tuned local feedback gain based decentralized fault tolerant control for a class of large-scale nonlinear systems 期刊论文
NEUROCOMPUTING, 2017, 期号: 235, 页码: 147-156
作者:  Zhao, Bo;  Li, Yuanchun;  Liu, Derong
浏览  |  Adobe PDF(1373Kb)  |  收藏  |  浏览/下载：381/105  |  提交时间：2017/05/05
Large-scale Nonlinear Systems  Partial Loss Of Actuator Effectiveness  Decentralized Fault Tolerant Control  Self-tuned Local Feedback Gain  Neural Network  
Observer based adaptive dynamic programming for fault tolerant control of a class of nonlinear systems 期刊论文
INFORMATION SCIENCES, 2017, 期号: 384, 页码: 21-33
作者:  Zhao, Bo;  Liu, Derong;  Li, Yuanchun
Adobe PDF(1581Kb)  |  收藏  |  浏览/下载：355/131  |  提交时间：2017/05/05
Adaptive Dynamic Programming  Fault Tolerant Control  Policy Iteration  Nonlinear Systems  Fault Observer  Neural Network  
An Incremental Change Detection Test Based on Density Difference Estimation 期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2017, 卷号: 49, 期号: 10, 页码: 2714-2726
作者:  Bu, Li;  Zhao, Dongbin;  Alippi, Cesare
浏览  |  Adobe PDF(1601Kb)  |  收藏  |  浏览/下载：398/142  |  提交时间：2017/05/04
Change Detection  Incremental Computing  Incremental Least Squares Density Difference Change Detection Method (Lsdd-inc)  Probability Density Function (Pdf)-free  
A pdf-Free Change Detection Test Based on Density Difference Estimation 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2018, 卷号: 29, 期号: 2, 页码: 324-334
作者:  Bu, Li;  Alippi, Cesare;  Zhao, Dongbin
浏览  |  Adobe PDF(2468Kb)  |  收藏  |  浏览/下载：359/104  |  提交时间：2017/05/04
Concept Drift  Least Squares Density-difference (Lsdd)-based Method  Probability Density Function (Pdf)-free  Three-level Threshold Mechanism  
Distributed algorithm for dissensus of a class of networked multiagent systems using output information 期刊论文
SOFT COMPUTING, 2018, 卷号: 22, 期号: 1, 页码: 273-282
作者:  Ma, Hongwen;  Liu, Derong;  Wang, Ding;  Yang, Xiong;  Li, Hongliang;  Derong Liu
浏览  |  Adobe PDF(925Kb)  |  收藏  |  浏览/下载：382/141  |  提交时间：2017/05/03
Distributed Control  Dissensus  Multiagent Systems  Output Feedback