Distributed robust stabilization for a class of uncertain nonlinear multi-agent systems
- Resource Type
- Conference
- Authors
- Peng, Zhouhua; Wang, Dan; Qiu, Chidong; Sun, Gang; Wang, Hao; Yan, Langtao
- Source
- 2012 12th International Conference on Control Automation Robotics & Vision (ICARCV) Control Automation Robotics & Vision (ICARCV), 2012 12th International Conference on. :1477-1482 Dec, 2012
- Subject
- Robotics and Control Systems
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Multi-agent systems
Nonlinear dynamical systems
Artificial neural networks
Robustness
Approximation methods
Vectors
Uncertainty
Distributed control
stabilization
multi-agent systems
nonlinear dynamics
- Language
This paper addresses the distributed robust stabilization problem for a class of uncertain nonlinear multiagent systems subject to dynamical uncertainties and external disturbances. A distributed adaptive controller is developed, based on the local information of the neighboring agents. The proposed controller can be implemented in a distributed manner for any undirected connected communication networks without requiring the accurate model of each agent. The proposed distributed neural controller guarantees that all signals in the closed-loop network are uniformly ultimately bounded. An example is given to show the efficacy of the proposed control method.