Modeling of a non-linear multi-agent distributed control system

Authors

• Yong-Chai Tan Centre for Modelling and Simulation, Faculty of Engineering, Built Environment & Information Technology, SEGi University, 47810 Petaling Jaya, Selangor, Malaysia
• Jer-Vui Lee Lee Kong Chian Faculty of Engineering and Science, Universiti Tunku Abdul Rahman, 43000 Kajang, Selangor, Malaysia
• Vin-Cent Tai Centre for Modelling and Simulation, Faculty of Engineering, Built Environment & Information Technology, SEGi University, 47810 Petaling Jaya, Selangor, Malaysia
• Li-Siang Ngow Centre for Modelling and Simulation, Faculty of Engineering, Built Environment & Information Technology, SEGi University, 47810 Petaling Jaya, Selangor, Malaysia
• Long Tan Centre for Modelling and Simulation, Faculty of Engineering, Built Environment & Information Technology, SEGi University, 47810 Petaling Jaya, Selangor, Malaysia

Keywords:

Non-linear multi-agent system, Lyapunov, Optimization, Leader-following consensus

Abstract

The goal of our research aims to develop a mathematical model for consensus control system based on Lyapunov Theory and nonlinear dynamics functional equations. This paper describes a new solution that deals with the general-consensus problem and the leader-following consensus problem of non-linear multi-agent system (NMAS) in which the parameters of all follower agents can be different, and with an unforced agent as the leader in the multi-agent system (MAS). Different control rules were constructed for each different follower agent based on its own state variables and its communication with adjacent agents. Finally, numerical simulations are provided to demonstrate the feasibility of the developed mathematical model. The results have demonstrated the designed distributed control system satisfy the Lyapunov Theory since all the  agents have converged to its steady state after a period of time.

2022-12-27

How to Cite

[1]
Y.-C. . Tan, J.-V. Lee, V.-C. . Tai, L.-S. . Ngow, and L. . Tan, “Modeling of a non-linear multi-agent distributed control system ”, JMES, vol. 16, no. 4, pp. 9230–9240, Dec. 2022.

Article