International Journal of Control, Automation and Systems 2018; 16(4): 1512-1520
Published online July 25, 2018
https://doi.org/10.1007/s12555-017-0702-1
© The International Journal of Control, Automation, and Systems
This paper considers a high-order consensus problem of multi-agent system with feedforward nonlinear and time-varying input delay in a directed network. In order to achieve the consensus, we propose a low gain distributed protocol which can get rid of impacts of feedforward nonlinearity and an arbitrarily bounded input delay on the consensus problem. Moreover, for any upper bound time-varying delay and strongly connected diagraph, the proposed controller can solve the consensus problem of multi-agent systems with feedforward nonlinearity if the designed parameter q is great than the threshold value. Finally, several numerical simulations are presented to demonstrate the validity of the theoretical results."
Keywords Directed network, feedforward, high-order consensus, input delay, nonlinear multi-agent systems.
International Journal of Control, Automation and Systems 2018; 16(4): 1512-1520
Published online August 1, 2018 https://doi.org/10.1007/s12555-017-0702-1
Copyright © The International Journal of Control, Automation, and Systems.
Shuzhen Yu, Haijun Jiang*, Zhiyong Yu, and Cheng Hu
Xinjiang University
This paper considers a high-order consensus problem of multi-agent system with feedforward nonlinear and time-varying input delay in a directed network. In order to achieve the consensus, we propose a low gain distributed protocol which can get rid of impacts of feedforward nonlinearity and an arbitrarily bounded input delay on the consensus problem. Moreover, for any upper bound time-varying delay and strongly connected diagraph, the proposed controller can solve the consensus problem of multi-agent systems with feedforward nonlinearity if the designed parameter q is great than the threshold value. Finally, several numerical simulations are presented to demonstrate the validity of the theoretical results."
Keywords: Directed network, feedforward, high-order consensus, input delay, nonlinear multi-agent systems.
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