Regular Papers

International Journal of Control, Automation and Systems 2016; 14(4): 1005-1011

Published online June 1, 2016

https://doi.org/10.1007/s12555-014-0366-z

© The International Journal of Control, Automation, and Systems

The Consensus of Multi-Agent Systems with Uncertainties and Randomly Occurring Nonlinearities via Impulsive Control

Dandan Li, Jing Ma*, Hengmin Zhu, and Mei Sun

Nanjing University of Aeronautics and Astronautics

Abstract

In many real-world multi-agent systems, the intrinsic dynamics of the agents are usually dynamic rather than static as the environmental uncertainty and the additive exogenous disturbance input. This paper aims at investigating the consensus problem of multi-agent systems with uncertainties and randomly occurring nonlinearities (RONs). Consider the robust and lost-cost, an effective impulsive control protocol is designed. Based on the Lyapunov stability theory and hybrid control theory, sufficient conditions are obtained to ensure consensus of multi-agent systems. Furthermore, both mathematical investigations and numerical simulations are presented to demonstrate the effectiveness of the proposed approaches.

Keywords Consensus, impulsive control multi-agent, RONs, uncertainties.

Article

Regular Papers

International Journal of Control, Automation and Systems 2016; 14(4): 1005-1011

Published online August 1, 2016 https://doi.org/10.1007/s12555-014-0366-z

Copyright © The International Journal of Control, Automation, and Systems.

The Consensus of Multi-Agent Systems with Uncertainties and Randomly Occurring Nonlinearities via Impulsive Control

Dandan Li, Jing Ma*, Hengmin Zhu, and Mei Sun

Nanjing University of Aeronautics and Astronautics

Abstract

In many real-world multi-agent systems, the intrinsic dynamics of the agents are usually dynamic rather than static as the environmental uncertainty and the additive exogenous disturbance input. This paper aims at investigating the consensus problem of multi-agent systems with uncertainties and randomly occurring nonlinearities (RONs). Consider the robust and lost-cost, an effective impulsive control protocol is designed. Based on the Lyapunov stability theory and hybrid control theory, sufficient conditions are obtained to ensure consensus of multi-agent systems. Furthermore, both mathematical investigations and numerical simulations are presented to demonstrate the effectiveness of the proposed approaches.

Keywords: Consensus, impulsive control multi-agent, RONs, uncertainties.

IJCAS
July 2024

Vol. 22, No. 7, pp. 2055~2340

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