Title :
Adaptive and distributed control of nonlinear and heterogeneous multi-agent systems
Author :
Bidram, Ali ; Lewis, Frank L. ; Davoudi, Ali ; Ge, S.S.
Author_Institution :
Electr. Eng. Dept., Univ. of Texas at Arlington, Arlington, TX, USA
Abstract :
The tracking synchronization problem of multi-agent systems with unknown nonlinear and heterogeneous dynamics is studied. A feedback linearization approach is used with neural networks to compensate for the uncertainties caused by the unknown and nonlinear dynamics of agents. Using the Lyapunov theory, an adaptive distributed control scheme is designed, and verified through the secondary voltage control of the practical microgrids.
Keywords :
Lyapunov methods; adaptive control; compensation; control system synthesis; distributed parameter systems; distributed power generation; feedback; multi-agent systems; neurocontrollers; nonlinear control systems; nonlinear dynamical systems; synchronisation; uncertain systems; voltage control; Lyapunov theory; adaptive distributed control scheme; feedback linearization approach; heterogeneous multi-agent systems; microgrids; neural networks; nonlinear dynamics; secondary voltage control; tracking synchronization problem; uncertainties compensation; Decentralized control; Microgrids; Multi-agent systems; Nonlinear dynamical systems; Synchronization; Vectors; Voltage control;
Conference_Titel :
Decision and Control (CDC), 2013 IEEE 52nd Annual Conference on
Conference_Location :
Firenze
Print_ISBN :
978-1-4673-5714-2
DOI :
10.1109/CDC.2013.6760875
