CASIA OpenIR

浏览/检索结果: 共9条,第1-9条 帮助

限定条件        
已选(0)清除 条数/页:   排序方式:
Event-Based Constrained Robust Control of Affine Systems Incorporating an AdaptiveCritic Mechanism 期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2017, 卷号: 47, 期号: 7, 页码: 1602-1612
作者:  Wang, Ding;  Mu, Chaoxu;  Yang, Xiong;  Liu, Derong
Adobe PDF(1062Kb)  |  收藏  |  浏览/下载:321/102  |  提交时间:2017/09/12
Adaptive Critic Mechanism (Acm)  Event-based Control  Input Constraints  Nonlinear Systems  Robust Control  
Event-Driven Adaptive Robust Control of Nonlinear Systems With Uncertainties Through NDP Strategy 期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2017, 卷号: 47, 期号: 7, 页码: 1358-1370
作者:  Wang, Ding;  Mu, Chaoxu;  He, Haibo;  Liu, Derong
Adobe PDF(1425Kb)  |  收藏  |  浏览/下载:387/142  |  提交时间:2017/09/12
Adaptive Dynamic Programming (Adp)  Adaptive Robust Control  Critic Neural Network  Event-driven Control  Neural Dynamic Programming (Ndp)  Uncertain Nonlinear Systems  
Online identifier-actor-critic algorithm for optimal control of nonlinear systems 期刊论文
OPTIMAL CONTROL APPLICATIONS & METHODS, 2017, 卷号: 38, 期号: 3, 页码: 317-335
作者:  Lin, Hanquan;  Wei, Qinglai;  Liu, Derong
浏览  |  Adobe PDF(2888Kb)  |  收藏  |  浏览/下载:282/73  |  提交时间:2017/07/18
Adaptive Dynamic Programming  Optimal Control  Discrete-time  Nonlinear System  Neural Network  Online Learning  Lyapunov Method  
Event-based input-constrained nonlinear H infinity state feedback with adaptive critic and neural implementation 期刊论文
NEUROCOMPUTING, 2016, 卷号: 214, 期号: *, 页码: 848-856
作者:  Wang, Ding;  Mu, Chaoxu;  Zhang, Qichao;  Liu, Derong
浏览  |  Adobe PDF(1090Kb)  |  收藏  |  浏览/下载:356/135  |  提交时间:2017/02/14
Adaptive Critic Learning (Acl)  Adaptive Dynamic Programming (Adp)  Event-based Control  Hamilton-jacobi-isaacs (Hji) Equation  Input Constraints  Neural Networks  Nonlinear H-infinity Control  State Feedback  
A novel optimal tracking control scheme for a class of discrete-time nonlinear systems using generalised policy iteration adaptive dynamic programming algorithm 期刊论文
INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE, 2017, 卷号: 48, 期号: 3, 页码: 525-534
作者:  Lin, Qiao;  Wei, Qinglai;  Liu, Derong
浏览  |  Adobe PDF(296Kb)  |  收藏  |  浏览/下载:331/138  |  提交时间:2017/02/14
Adaptive Dynamic Programming  Affine Nonlinear Systems  Discrete-time  Generalised Policy Iteration  Neural Network  Tracking Control  
Bipartite output consensus in networked multi-agent systems of high-order power integrators with signed digraph and input noises 期刊论文
INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE, 2016, 卷号: 47, 期号: 13, 页码: 3116-3131
作者:  Ma, Hongwen;  Liu, Derong;  Wang, Ding;  Luo, Biao
Adobe PDF(1913Kb)  |  收藏  |  浏览/下载:388/124  |  提交时间:2016/10/20
Bipartite Output Consensus  High-order  Input Noises  Networked Multi-agent Systems  Power Integrator  Signed Digraph  
Neural-Network-Based Distributed Adaptive Robust Control for a Class of Nonlinear Multiagent Systems With Time Delays and External Noises 期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2016, 卷号: 46, 期号: 6, 页码: 750-758
作者:  Ma, Hongwen;  Wang, Zhuo;  Wang, Ding;  Liu, Derong;  Yan, Pengfei;  Wei, Qinglai
Adobe PDF(880Kb)  |  收藏  |  浏览/下载:350/134  |  提交时间:2016/09/30
Distributed Adaptive Robust Control  Multiagent Systems  Neural Networks (Nns)  Noises  Time Delay  
Distributed control algorithm for bipartite consensus of the nonlinear time-delayed multi-agent systems with neural networks 期刊论文
NEUROCOMPUTING, 2016, 卷号: 174, 页码: 928-936
作者:  Wang, Ding;  Ma, Hongwen;  Liu, Derong
Adobe PDF(1037Kb)  |  收藏  |  浏览/下载:383/160  |  提交时间:2016/03/19
Bipartite Consensus  Distributed Control Algorithm  Multi-agent Systems  Neural Networks  Time Delays  
Data-driven controller design for general MIMO nonlinear systems via virtual reference feedback tuning and neural networks 期刊论文
NEUROCOMPUTING, 2016, 卷号: 171, 页码: 815-825
作者:  Yan, Pengfei;  Liu, Derong;  Wang, Ding;  Ma, Hongwen
浏览  |  Adobe PDF(603Kb)  |  收藏  |  浏览/下载:545/124  |  提交时间:2016/01/18
Data-driven Control  Mimo Nonlinear Systems  Model Reference Control  Neural Networks  Virtual Reference Feedback Tuning