GrHDP Solution for Optimal Consensus Control of Multiagent Discrete-Time Systems
暂无分享,去创建一个
[1] Haibo He,et al. A Theoretical Foundation of Goal Representation Heuristic Dynamic Programming , 2016, IEEE Transactions on Neural Networks and Learning Systems.
[2] Yufei Tang,et al. SMES-Based Damping Controller Design Using Fuzzy-GrHDP Considering Transmission Delay , 2016, IEEE Transactions on Applied Superconductivity.
[3] Huaguang Zhang,et al. A Novel Infinite-Time Optimal Tracking Control Scheme for a Class of Discrete-Time Nonlinear Systems via the Greedy HDP Iteration Algorithm , 2008, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).
[4] Frank L. Lewis,et al. Approximate dynamic programming solutions of multi-agent graphical games using actor-critic network structures , 2013, The 2013 International Joint Conference on Neural Networks (IJCNN).
[5] Xinghuo Yu,et al. Flocking of Multi-Agent Non-Holonomic Systems With Proximity Graphs , 2013, IEEE Transactions on Circuits and Systems I: Regular Papers.
[6] Xiong Luo,et al. An integrated design for intensified direct heuristic dynamic programming , 2013, 2013 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning (ADPRL).
[7] C. L. Philip Chen,et al. Fuzzy Observed-Based Adaptive Consensus Tracking Control for Second-Order Multiagent Systems With Heterogeneous Nonlinear Dynamics , 2016, IEEE Transactions on Fuzzy Systems.
[8] Stephen P. Boyd,et al. A scheme for robust distributed sensor fusion based on average consensus , 2005, IPSN 2005. Fourth International Symposium on Information Processing in Sensor Networks, 2005..
[9] Derong Liu,et al. Neural-Network-Based Optimal Control for a Class of Unknown Discrete-Time Nonlinear Systems Using Globalized Dual Heuristic Programming , 2012, IEEE Transactions on Automation Science and Engineering.
[10] Derong Liu,et al. Finite-Approximation-Error-Based Optimal Control Approach for Discrete-Time Nonlinear Systems , 2013, IEEE Transactions on Cybernetics.
[11] Huaguang Zhang,et al. Data-Driven Optimal Consensus Control for Discrete-Time Multi-Agent Systems With Unknown Dynamics Using Reinforcement Learning Method , 2017, IEEE Transactions on Industrial Electronics.
[12] Frank L. Lewis,et al. Discrete-Time Nonlinear HJB Solution Using Approximate Dynamic Programming: Convergence Proof , 2008, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).
[13] Huaguang Zhang,et al. Leader-Based Optimal Coordination Control for the Consensus Problem of Multiagent Differential Games via Fuzzy Adaptive Dynamic Programming , 2015, IEEE Transactions on Fuzzy Systems.
[14] Darsana P. Josyula,et al. An Overview of Data Privacy in Multi-Agent Learning Systems , 2013 .
[15] Haibo He,et al. Gr-GDHP: A New Architecture for Globalized Dual Heuristic Dynamic Programming , 2017, IEEE Transactions on Cybernetics.
[16] Youxian Sun,et al. Distributed Control of Nonlinear Multiagent Systems With Asymptotic Consensus , 2017, IEEE Transactions on Systems, Man, and Cybernetics: Systems.
[17] Guoqiang Hu,et al. Distributed Secure Coordinated Control for Multiagent Systems Under Strategic Attacks , 2017, IEEE Transactions on Cybernetics.
[18] Haibo He,et al. Model-Free Dual Heuristic Dynamic Programming , 2015, IEEE Transactions on Neural Networks and Learning Systems.
[19] Yi Zhang,et al. A self-learning call admission control scheme for CDMA cellular networks , 2005, IEEE Transactions on Neural Networks.
[20] Milind Tambe,et al. Distributed Sensor Networks: A Multiagent Perspective , 2003 .
[21] Chia-Feng Juang,et al. Ant Colony Optimization Incorporated With Fuzzy Q-Learning for Reinforcement Fuzzy Control , 2009, IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans.
[22] Haibo He,et al. Adaptive Learning and Control for MIMO System Based on Adaptive Dynamic Programming , 2011, IEEE Transactions on Neural Networks.
[23] Jinyu Wen,et al. Adaptive Learning in Tracking Control Based on the Dual Critic Network Design , 2013, IEEE Transactions on Neural Networks and Learning Systems.
[24] E.M. Atkins,et al. A survey of consensus problems in multi-agent coordination , 2005, Proceedings of the 2005, American Control Conference, 2005..
[25] Paul J. Werbos,et al. 2009 Special Issue: Intelligence in the brain: A theory of how it works and how to build it , 2009 .
[26] Jing Chen,et al. A Novel Adaptive Tropism Reward ADHDP Method with Robust Property , 2013, BICS.
[27] Wenxin Liu,et al. Multiagent System-Based Integrated Solution for Topology Identification and State Estimation , 2017, IEEE Transactions on Industrial Informatics.
[28] Haibo He,et al. Robust controller design of continuous-time nonlinear system using neural network , 2013, The 2013 International Joint Conference on Neural Networks (IJCNN).
[29] Haibo He,et al. Heuristic dynamic programming with internal goal representation , 2013, Soft Comput..
[30] Wenwu Yu,et al. An Overview of Recent Progress in the Study of Distributed Multi-Agent Coordination , 2012, IEEE Transactions on Industrial Informatics.
[31] Frank L. Lewis,et al. Optimal distributed synchronization control for continuous-time heterogeneous multi-agent differential graphical games , 2015, Inf. Sci..
[32] Derong Liu,et al. Optimal Control of Unknown Nonlinear Discrete-Time Systems Using the Iterative Globalized Dual Heuristic Programming Algorithm , 2013 .
[33] Guo-Ping Liu,et al. Consensus and Stability Analysis of Networked Multiagent Predictive Control Systems , 2017, IEEE Transactions on Cybernetics.
[34] Yan-Jun Liu,et al. Neural Network-Based Adaptive Leader-Following Consensus Control for a Class of Nonlinear Multiagent State-Delay Systems , 2017, IEEE Transactions on Cybernetics.
[35] Jennie Si,et al. Online learning control by association and reinforcement. , 2001, IEEE transactions on neural networks.
[36] Guo-Xing Wen,et al. Adaptive Consensus Control for a Class of Nonlinear Multiagent Time-Delay Systems Using Neural Networks , 2014, IEEE Transactions on Neural Networks and Learning Systems.
[37] Paul J. Werbos,et al. Foreword: ADP - The Key Direction for Future Research in Intelligent Control and Understanding Brain Intelligence , 2008, IEEE Trans. Syst. Man Cybern. Part B.
[38] J. Such,et al. A survey of privacy in multi-agent systems , 2013, The Knowledge Engineering Review.
[39] Huaguang Zhang,et al. Neural-Network-Based Near-Optimal Control for a Class of Discrete-Time Affine Nonlinear Systems With Control Constraints , 2009, IEEE Transactions on Neural Networks.
[40] Tingwen Huang,et al. Cooperative Distributed Optimization in Multiagent Networks With Delays , 2015, IEEE Transactions on Systems, Man, and Cybernetics: Systems.
[41] Derong Liu,et al. Policy Iteration Adaptive Dynamic Programming Algorithm for Discrete-Time Nonlinear Systems , 2014, IEEE Transactions on Neural Networks and Learning Systems.
[42] Feng Liu,et al. A boundedness result for the direct heuristic dynamic programming , 2012, Neural Networks.
[43] Haibo He,et al. GrDHP: A General Utility Function Representation for Dual Heuristic Dynamic Programming , 2015, IEEE Transactions on Neural Networks and Learning Systems.
[44] Haibo He,et al. Data-driven partially observable dynamic processes using adaptive dynamic programming , 2014, 2014 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning (ADPRL).
[45] Richard M. Murray,et al. Consensus problems in networks of agents with switching topology and time-delays , 2004, IEEE Transactions on Automatic Control.
[46] Haibo He. Self-Adaptive Systems for Machine Intelligence , 2011 .
[47] Frank L. Lewis,et al. Multi-agent discrete-time graphical games and reinforcement learning solutions , 2014, Autom..
[48] Haibo He,et al. A three-network architecture for on-line learning and optimization based on adaptive dynamic programming , 2012, Neurocomputing.
[49] Haibo He,et al. Goal Representation Heuristic Dynamic Programming on Maze Navigation , 2013, IEEE Transactions on Neural Networks and Learning Systems.
[50] Shaocheng Tong,et al. A Unified Approach to Adaptive Neural Control for Nonlinear Discrete-Time Systems With Nonlinear Dead-Zone Input , 2016, IEEE Transactions on Neural Networks and Learning Systems.
[51] B.D.O. Anderson,et al. The multi-agent rendezvous problem - the asynchronous case , 2004, 2004 43rd IEEE Conference on Decision and Control (CDC) (IEEE Cat. No.04CH37601).