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Formation control with obstacle avoidance of second-order multi-agent systems under directed communication topology 期刊论文
SCIENCE CHINA-INFORMATION SCIENCES, 2019, 卷号: 62, 期号: 9, 页码: 14
Authors:  Wen, Guoxing;  Chen, C. L. Philip;  Dou, Hui;  Yang, Hongli;  Liu, Chunfang
Favorite  |  View/Download:4/0  |  Submit date:2019/12/16
formation control  obstacle avoidance  artificial potential field method  H-infinity performance  second-order multi-agent system  directed topology  
Distributed H-infinity consensus control for nonlinear multi-agent systems under switching topologies via relative output feedback 期刊论文
NEURAL COMPUTING & APPLICATIONS, 2019, 卷号: 31, 期号: 1, 页码: 1-9
Authors:  Jiang, Yulian;  Wang, Hongquan;  Wang, Shenquan
Favorite  |  View/Download:7/0  |  Submit date:2019/07/12
Multi-agent systems  Relative output feedback  Consensus  Iterative algorithm  
Robust global consensus tracking of linear multi-agent systems with input saturation via scheduled low-and-high gain feedback 期刊论文
IET CONTROL THEORY AND APPLICATIONS, 2019, 卷号: 13, 期号: 1, 页码: 69-77
Authors:  Chu, Hongjun;  Chen, Jianliang;  Wei, Qinglai;  Zhang, Weidong
Favorite  |  View/Download:12/0  |  Submit date:2019/07/12
reduced order systems  observers  multi-agent systems  linear systems  multi-robot systems  actuators  robust control  state feedback  feedback  control system synthesis  topology  robust global consensus tracking  input saturation  agent dynamics  general linear systems  actuator saturation  input additive uncertainties  state feedback protocol  disturbance rejection  reduced-order observer-based protocol design  linear multi-agent systems  scheduled low-and-high gain feedback  network topology  
Experience-based Causality Learning for Intelligent Agents 期刊论文
Asian and Low-Resource Language Information Processing (TALLIP), 2019, 卷号: 18, 期号: 4, 页码: 1-22
Authors:  Yang Liu;  Shaonan Wang;  Jiajun Zhang;  Chengqing Zong
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Intelligent Agent, Causality Learning, Grounded Language Learning, Experience, Virtual Environment  
Learning Deep Decentralized Policy Network by Collective Rewards for Real-Time Combat Game 会议论文
, Macao, China, August 10-16, 2019
Authors:  Peixi Peng;  Junliang Xing;  Lili Cao;  Lisen Mu;  Chang Huang
View  |  Adobe PDF(762Kb)  |  Favorite  |  View/Download:30/10  |  Submit date:2019/10/10
Multi-agent Learning  Deep Decentralized Policy Network  Real-time Combat Game  
Consistent Population Synthesis with Multi-Social Relationships Based on Tensor Decomposition 期刊论文
IEEE Transactions on Intelligent Transportation Systems, 2019, 卷号: 00, 期号: 00, 页码: 00
Authors:  Peijun Ye;  Fenghua Zhu;  Samer Sabri;  Fei-Yue Wang
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Population Synthesis  Multiple Social Relationships  Tensor Decomposition  Agent-based Simulation  
Adaptive Neural Network Time-varying Formation Tracking Control for Multi-agent Systems via Minimal Learning Parameter Approach 会议论文
, Budapest, Hungary, July 14-19, 2019
Authors:  Xiong Tianyi;  Pu Zhiqiang;  Yi Jianqiang;  Sui Zezhi
View  |  Adobe PDF(548Kb)  |  Favorite  |  View/Download:66/18  |  Submit date:2019/05/07
Formation Control  Minimal Learning Parameter  Multi-agent System  Neural Network  
A Survey of Cognitive Architectures in the Past 20 Years 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2018, 卷号: 48, 期号: 12, 页码: 3280-3290
Authors:  Ye, Peijun;  Wang, Tao;  Wang, Fei-Yue
View  |  Adobe PDF(734Kb)  |  Favorite  |  View/Download:122/64  |  Submit date:2019/01/08
Agent  artificial intelligence (Al)  cognitive architecture (CA)  survey  
Cross-Agent Action Recognition 期刊论文
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2018, 卷号: 28, 期号: 10, 页码: 2908-2919
Authors:  Wang, Hongsong;  Wang, Liang
Favorite  |  View/Download:34/0  |  Submit date:2019/01/08
Cross-agent  human action recognition  animal action recognition  
Optimized Multi-Agent Formation Control Based on an Identifier-Actor--Critic Reinforcement Learning Algorithm 期刊论文
IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2018, 卷号: 26, 期号: 5, 页码: 2719-2731
Authors:  Wen, Guoxing;  Chen, C. L. Philip;  Feng, Jun;  Zhou, Ning
Favorite  |  View/Download:3/0  |  Submit date:2019/12/16
Fuzzy logic systems (FLSs)  identifier-actor-critic architecture  multi-agent formation  optimized formation control  reinforcement learning (RL)