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Knowledge Commons of Institute of Automation,CAS
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复杂系统管理与控制... [25]
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Wang Ding [16]
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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
Authors:
Luo, Biao
;
Liu, Derong
;
Wu, Huai-Ning
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View/Download:165/58
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Submit date:2018/10/10
Adaptive Control
Adaptive Dynamic Programming
Constraints
Critic-only
Data-based
Optimal Control
Q-learning
Data-Based Optimal Control for Weakly Coupled Nonlinear Systems Using Policy Iteration
期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2018, 卷号: 48, 期号: 4, 页码: 511-521
Authors:
Li, Chao
;
Liu, Derong
;
Wang, Ding
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Adobe PDF(892Kb)
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View/Download:169/47
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Submit date:2017/05/03
Adaptive Dynamic Programming (Adp)
Neural Networks (Nns)
Optimal Control
Policy Iteration (Pi)
Unknown Dynamics
Weakly Coupled Systems
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
Authors:
Bu, Li
;
Alippi, Cesare
;
Zhao, Dongbin
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View/Download:134/44
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Submit date: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
Authors:
Ma, Hongwen
;
Liu, Derong
;
Wang, Ding
;
Yang, Xiong
;
Li, Hongliang
;
Derong Liu
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Adobe PDF(925Kb)
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View/Download:178/67
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Submit date:2017/05/03
Distributed Control
Dissensus
Multiagent Systems
Output Feedback
A novel neural optimal control framework with nonlinear dynamics: Closed-loop stability and simulation verification
期刊论文
NEUROCOMPUTING, 2017, 卷号: 266, 页码: 353-360
Authors:
Wang, Ding
;
Mu, Chaoxu
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View/Download:112/11
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Submit date:2018/03/03
Adaptive Dynamic Programming
Adaptive System
Learning Control
Neural Network
Optimal Regulator
Stability
Bounded robust control design for uncertain nonlinear systems using single-network adaptive dynamic programming
期刊论文
NEUROCOMPUTING, 2017, 卷号: 266, 页码: 128-140
Authors:
Huang, Yuzhu
;
Wang, Ding
;
Liu, Derong
Adobe PDF(1876Kb)
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View/Download:102/16
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Submit date:2018/03/03
Neural Networks
Optimal Control
Adaptive Dynamic Programming
Bounded Robust Control
Uncertain Nonlinear Systems
Adaptive tracking control for a class of continuous-time uncertain nonlinear systems using the approximate solution of HJB equation
期刊论文
NEUROCOMPUTING, 2017, 卷号: 260, 页码: 432-442
Authors:
Mu, Chaoxu
;
Sun, Changyin
;
Wang, Ding
;
Song, Aiguo
Adobe PDF(1555Kb)
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View/Download:159/52
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Submit date:2017/09/12
Adaptive Tracking Control
Hamilton-jacobi-bellman (Hjb) Equation
Adaptive Dynamic Programming (Adp)
Neural Networks
Uncertainties
Improving the Critic Learning for Event-Based Nonlinear H-infinity Control Design
期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2017, 卷号: 47, 期号: 10, 页码: 3417-3428
Authors:
Wang, Ding
;
He, Haibo
;
Liu, Derong
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Adobe PDF(1068Kb)
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View/Download:134/30
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Submit date:2018/03/03
H-infinity Control
Adaptive Systems
Adaptive/approximate Dynamic Programming
Critic Network
Event-based Design
Learning Criterion
Neural Control
Event-Driven Nonlinear Discounted Optimal Regulation Involving a Power System Application
期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2017, 卷号: 64, 期号: 10, 页码: 8177-8186
Authors:
Wang, Ding
;
He, Haibo
;
Zhong, Xiangnan
;
Liu, Derong
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Adobe PDF(1126Kb)
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View/Download:128/34
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Submit date:2018/03/03
Adaptive/approximate Dynamic Programming
Approximation
Discount Factor
Event-driven Control
Neural Networks
Optimal Regulation
Power System
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
Authors:
Wang, Ding
;
He, Haibo
;
Liu, Derong
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Adobe PDF(1954Kb)
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View/Download:194/88
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Submit date:2018/03/03
Adaptive Critic Designs
Adaptive/approximate Dynamic Programming (Adp)
Boundedness
Convergence
Neural Networks
Optimal Control
Reinforcement Learning
Robust Control
Stability