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RAHMANI Ahmed
RAHMANI Ahmed
Full Professor, Centrale Lille
在 centralelille.fr 的电子邮件经过验证
标题
引用次数
引用次数
年份
Leader–follower formation control of nonholonomic mobile robots based on a bioinspired neurodynamic based approach
Z Peng, G Wen, A Rahmani, Y Yu
Robotics and autonomous systems 61 (9), 988-996, 2013
1772013
Distributed consensus-based formation control for multiple nonholonomic mobile robots with a specified reference trajectory
Z Peng, G Wen, A Rahmani, Y Yu
International Journal of Systems Science 46 (8), 1447-1457, 2015
1762015
Fully distributed formation-containment control of heterogeneous linear multiagent systems
W Jiang, G Wen, Z Peng, T Huang, A Rahmani
IEEE Transactions on Automatic Control 64 (9), 3889-3896, 2018
1622018
Bond graph aided design of controlled systems
G Dauphin-Tanguy, A Rahmani, C Sueur
Simulation Practice and Theory 7 (5-6), 493-513, 1999
1431999
Adaptive distributed formation control for multiple nonholonomic wheeled mobile robots
Z Peng, S Yang, G Wen, A Rahmani, Y Yu
Neurocomputing 173, 1485-1494, 2016
1272016
Distributed consensus-based formation control for nonholonomic wheeled mobile robots using adaptive neural network
Z Peng, G Wen, S Yang, A Rahmani
Nonlinear Dynamics 86, 605-622, 2016
1202016
Distributed leader-following consensus for second-order multi-agent systems with nonlinear inherent dynamics
G Wen, Z Peng, A Rahmani, Y Yu
International Journal of Systems Science 45 (9), 1892-1901, 2014
942014
Fault-tolerant secure consensus tracking of delayed nonlinear multi-agent systems with deception attacks and uncertain parameters via impulsive control
G Wen, X Zhai, Z Peng, A Rahmani
Communications in nonlinear science and numerical simulation 82, 105043, 2020
752020
Distributed consensus tracking for the fractional-order multi-agent systems based on the sliding mode control method
J Bai, G Wen, A Rahmani, Y Yu
Neurocomputing 235, 210-216, 2017
742017
Distributed formation tracking of multi-robot systems with nonholonomic constraint via event-triggered approach
X Chu, Z Peng, G Wen, A Rahmani
Neurocomputing 275, 121-131, 2018
602018
Consensus with a reference state for fractional-order multi-agent systems
J Bai, G Wen, A Rahmani, X Chu, Y Yu
International Journal of Systems Science 47 (1), 222-234, 2016
562016
102.4-Gb/s single-polarization direct-detection reception using signal carrier interleaved optical OFDM
D Che, X Chen, J He, A Li, W Shieh
Optical Fiber Communication Conference, Tu3G. 7, 2014
50*2014
Distributed formation control of fractional-order multi-agent systems with absolute damping and communication delay
J Bai, G Wen, A Rahmani, Y Yu
International Journal of Systems Science 46 (13), 2380-2392, 2015
492015
Distributed fixed-time consensus-based formation tracking for multiple nonholonomic wheeled mobile robots under directed topology
X Zhang, Z Peng, S Yang, G Wen, A Rahmani
International Journal of Control 94 (1), 248-257, 2021
462021
Robust fixed‐time consensus tracking with application to formation control of unicycles
X Chu, Z Peng, G Wen, A Rahmani
IET Control Theory & Applications 12 (1), 53-59, 2018
442018
Consensus tracking for second-order nonlinear multi-agent systems with switching topologies and a time-varying reference state
G Wen, Y Yu, Z Peng, A Rahmani
International Journal of Control 89 (10), 2096-2106, 2016
422016
Distributed finite-time consensus tracking for nonlinear multi-agent systems with a time-varying reference state
G Wen, Y Yu, Z Peng, A Rahmani
International Journal of Systems Science 47 (8), 1856-1867, 2016
412016
Etude structurelle des systèmes linéaires par l'approche Bond Graph
A Rahmani
Lille 1, 1993
381993
A reinforcement learning based artificial bee colony algorithm with application in robot path planning
Y Cui, W Hu, A Rahmani
Expert Systems with Applications 203, 117389, 2022
372022
Fully distributed consensus tracking of stochastic nonlinear multiagent systems with Markovian switching topologies via intermittent control
B Li, G Wen, Z Peng, T Huang, A Rahmani
IEEE Transactions on Systems, Man, and Cybernetics: Systems 52 (5), 3200-3209, 2021
362021
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