Sampled-data based average consensus of second-order integral multi-agent systems: Switching topologies and communication noises L Cheng, Y Wang, ZG Hou, M Tan, Z Cao
Automatica 49 (5), 1458-1464, 2013
179 2013 Containment Control of Multiagent Systems With Dynamic Leaders Based on a L Cheng, Y Wang, W Ren, ZG Hou, M Tan
IEEE transactions on cybernetics 46 (12), 3004-3017, 2015
153 2015 Seeking consensus in networks of linear agents: communication noises and markovian switching topologies Y Wang, L Cheng, W Ren, ZG Hou, M Tan
IEEE Transactions on Automatic Control 60 (5), 1374-1379, 2015
150 2015 On convergence rate of leader-following consensus of linear multi-agent systems with communication noises L Cheng, Y Wang, W Ren, ZG Hou, M Tan
IEEE Transactions on Automatic Control 61 (11), 3586-3592, 2016
139 2016 Containment control of multi-agent systems in a noisy communication environment Y Wang, L Cheng, ZG Hou, M Tan, M Wang
Automatica 50 (7), 1922-1928, 2014
139 2014 Optimal formation of multirobot systems based on a recurrent neural network Y Wang, L Cheng, ZG Hou, J Yu, M Tan
IEEE transactions on neural networks and learning systems 27 (2), 322-333, 2015
110 2015 Distributed exponential finite-time coordination of multi-agent systems: containment control and consensus H Liu, L Cheng, M Tan, Z Hou, Y Wang
International Journal of Control 88 (2), 237-247, 2015
76 2015 Consensus seeking in a network of discrete-time linear agents with communication noises Y Wang, L Cheng, ZG Hou, M Tan, C Zhou, M Wang
International Journal of Systems Science 46 (10), 1874-1888, 2015
48 2015 Using consecutive point clouds for pose and motion estimation of tumbling non-cooperative target YX YipengLi, Yunpeng Wang
Advances in Space Research, 2019
40 2019 Necessary and sufficient conditions for solving leader-following problem of multi-agent systems with communication noises Y Wang, L Cheng, ZG Hou, M Tan, H Liu, M Wang
2013 25th Chinese Control and Decision Conference (CCDC), 778-783, 2013
16 2013 Leader-following consensus of discrete-time linear multi-agent systems with communication noises Y Wang, L Cheng, H Wang, ZG Hou, M Tan, H Yu
2015 34th Chinese Control Conference (CCC), 7010-7015, 2015
11 2015 Stochastic consensus of linear multi-agent systems: Communication noises and Markovian switching topologies L Cheng, Y Wang, ZG Hou, M Tan
The 26th Chinese Control and Decision Conference (2014 CCDC), 274-279, 2014
11 2014 Polynomial trajectory tracking of networked euler-lagrange systems Y Wang, L Cheng, ZG Hou, M Tan, G Bian
The 33rd Chinese Control Conference, 1568-1573, 2014
10 2014 Coordinated transportation of a group of unmanned ground vehicles Y Wang, L Cheng, ZG Hou, M Tan, H Yu
2015 34th Chinese control conference (CCC), 7027-7032, 2015
9 2015 Leader-following output consensus in a network of linear agents with communication noises Y Wang, L Cheng, ZG Hou, M Tan, M Wang
The 19th World Congress of the International Federation of Automatic Control …, 2014
7 2014 Consensus tracking of general linear multi-agent systems: Fast sliding-mode algorithms H Liu, L Cheng, M Tan, Z Hou, Y Wang
Proceedings of the 32nd Chinese Control Conference, 7302-7307, 2013
5 2013 A sampled-data based average consensus protocol for double-integrator multi-agent systems with switching topologies and communication noise L Cheng, Y Wang, ZG Hou, M Tan, Z Cao
the 10th World Congress on Intelligent Control and Automation, 886-891, 2012
5 2012 Reaching a stochastic consensus in the noisy networks of linear MIMO agents: Dynamic output-feedback and convergence rate YP Wang, L Cheng, CG Yang, ZG Hou, M Tan
Science China Technological Sciences 59, 45-54, 2016
4 2016 On consensus of linear multi-agent systems with switching topologies: A dynamic output feedback approach Y Wang, L Cheng, ZG Hou, M Tan
Control Conference (CCC), 2012 31st Chinese, 6190-6195, 2012
4 * 2012 Leader-following consensus of multi-agent systems with dynamic leader and measurement noises Y Wang, Y Xie, L Cheng
2017 36th Chinese Control Conference (CCC), 8379-8384, 2017
3 2017 
Long ChengProfessor, State Key Lab. of Management and Control for Complex Systems, CASIAEmail verificata su ia.ac.cn