Title :
Distributed consensus control using neural network for a class of nonlinear multi-agent systems
Author :
Wen, Guo-Xing ; Chen, C. L Philip
Author_Institution :
Dept. of Comput. & Inf. Sci., FST Univ. of Macau, Macau, China
Abstract :
In this paper, we described a class of nonlinear multi-agent dynamic systems in consensus problem which every agent is multi-dimensional dynamic system. The control objective is expect to find suitable consensus controller for every agent such that 1) guarantee all the signals in the dynamic systems remain bounded. 2) design the consensus controllers for every agent then the average-consensus behavior of the multi-agent systems can be obtained.
Keywords :
control system synthesis; distributed control; multi-agent systems; multi-robot systems; neurocontrollers; nonlinear dynamical systems; average-consensus behavior; consensus controller design; consensus problem; control objective; distributed consensus control; multidimensional dynamic system; neural network; nonlinear multiagent dynamic system; Artificial neural networks; Control systems; Multiagent systems; Nonlinear dynamical systems; Vehicle dynamics; consensus control; multi-agent network; neural network;
Conference_Titel :
Systems, Man, and Cybernetics (SMC), 2012 IEEE International Conference on
Conference_Location :
Seoul
Print_ISBN :
978-1-4673-1713-9
Electronic_ISBN :
978-1-4673-1712-2
DOI :
10.1109/ICSMC.2012.6378136
