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Long Cheng
Long Cheng
Professor, State Key Lab. of Management and Control for Complex Systems, CASIA
Verifisert e-postadresse på ia.ac.cn - Startside
Tittel
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Decentralized robust adaptive control for the multiagent system consensus problem using neural networks
ZG Hou, L Cheng, M Tan
IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 39 …, 2009
6102009
Neural-network-based adaptive leader-following control for multiagent systems with uncertainties
L Cheng, ZG Hou, M Tan, Y Lin, W Zhang
IEEE Transactions on Neural Networks 21 (8), 1351-1358, 2010
3322010
Neural-learning-based telerobot control with guaranteed performance
C Yang, X Wang, L Cheng, H Ma
IEEE transactions on cybernetics 47 (10), 3148-3159, 2016
2892016
Adaptive control of an electrically driven nonholonomic mobile robot via backstepping and fuzzy approach
ZG Hou, AM Zou, L Cheng, M Tan
IEEE Transactions on Control Systems Technology 17 (4), 803-815, 2009
2622009
Adaptive neural network tracking control for manipulators with uncertain kinematics, dynamics and actuator model
L Cheng, ZG Hou, M Tan
Automatica 45 (10), 2312-2318, 2009
2372009
Neural-network-based nonlinear model predictive control for piezoelectric actuators
L Cheng, W Liu, ZG Hou, J Yu, M Tan
IEEE Transactions on Industrial Electronics 62 (12), 7717-7727, 2015
2362015
Necessary and Sufficient Conditions for Consensus of Double-Integrator Multi-Agent Systems With Measurement Noises
L Cheng, ZG Hou, M Tan, X Wang
Automatic Control, IEEE Transactions on, 1-1, 2011
2222011
Finite-time convergence adaptive fuzzy control for dual-arm robot with unknown kinematics and dynamics
C Yang, Y Jiang, J Na, Z Li, L Cheng, CY Su
IEEE Transactions on Fuzzy Systems 27 (3), 574-588, 2018
2162018
A mean square consensus protocol for linear multi-agent systems with communication noises and fixed topologies
L Cheng, ZG Hou, M Tan
IEEE Transactions on Automatic Control 59 (1), 261-267, 2013
2152013
Recurrent neural network for non-smooth convex optimization problems with application to the identification of genetic regulatory networks
L Cheng, ZG Hou, Y Lin, M Tan, WC Zhang, FX Wu
IEEE Transactions on Neural Networks 22 (5), 714-726, 2011
2092011
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
1652013
Neural Networks Enhanced Adaptive Admittance Control of Optimized Robot–Environment Interaction
C Yang, G Peng, Y Li, R Cui, L Cheng, Z Li
IEEE transactions on cybernetics 49 (7), 2568-2579, 2018
1522018
Containment Control of Multiagent Systems With Dynamic Leaders Based on a -Type Approach
L Cheng, Y Wang, W Ren, ZG Hou, M Tan
IEEE transactions on cybernetics 46 (12), 3004-3017, 2015
1422015
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, 2014
1362014
Containment control of continuous-time linear multi-agent systems with aperiodic sampling
H Liu, L Cheng, M Tan, ZG Hou
Automatica 57, 78-84, 2015
1352015
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
1282016
Neural control of robot manipulators with trajectory tracking constraints and input saturation
C Yang, D Huang, W He, L Cheng
IEEE Transactions on Neural Networks and Learning Systems 32 (9), 4231-4242, 2020
1252020
Asymmetric bounded neural control for an uncertain robot by state feedback and output feedback
L Kong, W He, Y Dong, L Cheng, C Yang, Z Li
IEEE Transactions on Systems, Man, and Cybernetics: Systems 51 (3), 1735-1746, 2019
1202019
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
1172014
Force sensorless admittance control for teleoperation of uncertain robot manipulator using neural networks
C Yang, G Peng, L Cheng, J Na, Z Li
IEEE Transactions on Systems, Man, and Cybernetics: Systems 51 (5), 3282-3292, 2019
1092019
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Artikler 1–20