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Adaptive Constrained Optimal Control Design for Data-Based Nonlinear Discrete-Time Systems With Critic-Only Structure 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2018, 卷号: 29, 期号: 6, 页码: 2099-2111
作者:  Luo, Biao;  Liu, Derong;  Wu, Huai-Ning
浏览  |  Adobe PDF(1045Kb)  |  收藏  |  浏览/下载:392/119  |  提交时间:2018/10/10
Adaptive Control  Adaptive Dynamic Programming  Constraints  Critic-only  Data-based  Optimal Control  Q-learning  
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:229/0  |  提交时间:2018/10/10
Memristive Neural Networks  Robust Synchronization  Mismatch Characteristics  Pinning 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:406/144  |  提交时间:2018/10/10
Adaptive Dynamic Programming  Unknown Actuator Saturation  Continuous-time Nonlinear Systems  Stabilizing Control  Neural Networks  
Adaptive Critic Nonlinear Robust Control: A Survey 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2017, 卷号: 47, 期号: 10, 页码: 3429-3451
作者:  Wang, Ding;  He, Haibo;  Liu, Derong
浏览  |  Adobe PDF(1954Kb)  |  收藏  |  浏览/下载:437/148  |  提交时间:2018/03/03
Adaptive Critic Designs  Adaptive/approximate Dynamic Programming (Adp)  Boundedness  Convergence  Neural Networks  Optimal Control  Reinforcement Learning  Robust Control  Stability  
Neural-network-based adaptive guaranteed cost control of nonlinear dynamical systems with matched uncertainties 期刊论文
NEUROCOMPUTING, 2017, 卷号: 245, 页码: 46-54
作者:  Mu, Chaoxu;  Wang, Ding
Adobe PDF(1843Kb)  |  收藏  |  浏览/下载:378/129  |  提交时间:2017/09/12
Adaptive Dynamic Programming (Adp)  Guaranteed Cost Control  Neural Networks  Uncertain Dynamics  Stability  
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
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Adaptive Dynamic Programming  Decentralised Tracking Control  Unknown Large-scale Nonlinear Systems  Observer-critic Structure  Neural Networks  
Intelligent Critic Control With Disturbance Attenuation for Affine Dynamics Including an Application to a Microgrid System 期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2017, 卷号: 64, 期号: 6, 页码: 4935-4944
作者:  Wang, Ding;  He, Haibo;  Mu, Chaoxu;  Liu, Derong
Adobe PDF(728Kb)  |  收藏  |  浏览/下载:351/114  |  提交时间:2017/07/18
Adaptive/approximate Dynamic Programming  Adaptive Critic Control  Disturbance Attenuation  Intelligent Control  Neural Identification  Smart Microgrid  
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
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Large-scale Nonlinear Systems  Partial Loss Of Actuator Effectiveness  Decentralized Fault Tolerant Control  Self-tuned Local Feedback Gain  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:441/155  |  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:397/115  |  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