Computer Engineering & Science ›› 2022, Vol. 44 ›› Issue (10): 1852-1860.
• Artificial Intelligence and Data Mining • Previous Articles Next Articles
KOU Qiao-yuan,YUAN Jie
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Abstract: Aiming at the time-varying communication delay and unknown interference problems in uncertain nonlinear second-order multi-agent systems, this paper proposes a robust adaptive flocking control law. In order to make the second-order multi-agent systems have better anti-interference ability, this paper designs a robust adaptive operator based on the statement information of agent's position and speed, and realizes the system under the time-varying communication delay disturbance. By using the Lyapunov-Krasovskii method to construct the energy function, the network connectivity of the multi- agent system is proved, the speed of the agent converges to the speed of the virtual leader, and the convergence condition of the multi-agent system with time-varying communication delay is given. The simulation experiment results show that the multi-agent system can achieve rapid convergence and form a stable topology under different interference intensities and communication delays, which proves that the proposed method is correct and effective.
Key words: multi-agent system, flocking control, communication time delay, nonlinear system;robust adaptive control
KOU Qiao-yuan, YUAN Jie. An improved flocking control for multi-agent system with time-varying communication delay[J]. Computer Engineering & Science, 2022, 44(10): 1852-1860.
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http://joces.nudt.edu.cn/EN/Y2022/V44/I10/1852