Neural-Network-Based Adaptive Leader-Following Control for Multiagent Systems With Uncertainties

By Long Cheng, Zeng-Guang Hou, Min Tan, Yingzi Lin, W. Zhang. IEEE Transactions on Neural Networks, 2010

328 citations recorded by the source corpus.

Subfields: Computational Theory and Mathematics, Computer Networks and Communications, Control and Systems Engineering

View Paper: https://www.semanticscholar.org/paper/ee0db22a39d309330afdf03bd6b8e5426a1f1504

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computational Theory and Mathematics

1. Chun-Yi Su
2. Xingjian Wang
3. Chenguang Yang
4. Zhijun Li
5. Hongyi Li
6. Yanan Li

In Computer Networks and Communications

1. Chun-Yi Su
2. Hongjing Liang
3. Yanhui Zhang
4. Xingjian Wang
5. Chenguang Yang
6. Zhijun Li
7. Hongyi Li
8. Jian Sun

In Control and Systems Engineering

1. Zhijun Li
2. Chun-Yi Su
3. Hongjing Liang
4. Yanhui Zhang
5. Xingjian Wang
6. Chenguang Yang
7. Hongyi Li
8. Yanan Li

Citations in the corpus

• Event-Triggered Adaptive Tracking Control for Multiagent Systems With Unknown Disturbances (2020, background): “In [8], the leader-following control problem for multiagent systems was addressed by a neural-network-based adaptive approach, where the uncertainty in the agents’ dynamics and the time-varying leader’s states were both taken into account.”
• Teleoperation Control Based on Combination of Wave Variable and Neural Networks (2017, background): “In recent years, the applications of neural network (NN) to the robot control system have become increasingly popular [27]–[31], due to the fact that the NN has the ability to emulate complicated nonlinearity and uncertain functions [32]–[34].”