Second-order consensus in multi-agent systems based on second-order neighbours’ information

Abstract

This paper mainly investigates the consensus of second-order multi-agent systems by using the second-order neighbours' information. The comparison between the convergence rate of second-order neighbour protocol and the one of general protocol is developed. When multi-agent system achieves maximum speed consensus, the relation between the parameter in general protocol and that in second-order neighbour protocol is analysed. If there exists delay in communication, the delay margins of general protocol and second-order neighbour protocol are derived. Numerical examples are given to illustrate the effectiveness of the proposed methods.

Event-Triggered Control for Multiagent Systems with the Problem of Packet Losses and Communication Delays When Using the Second-Order Neighbors’ Information

“…Moreover, the constant time delay and data losses are explicitly taken into account. It differs from the previous work in such aspects: [11,13] only focus on the effect of the delay, while we focus more on link failure with a probability among agents. Besides, event-triggered control considered in this paper can save energy of agents.…”

Robust consensus of fractional-order multi-agent systems with positive real uncertainty via second-order neighbors information

“…To accelerate the convergence rate, the protocol using the information of secondorder neighbors which original idea from that each node is able to receive the information of its neighbors as well as the information of others passed by its neighbors was studied in [12][13][14][15][16]. In [12], the authors developed a protocol that each node updated its state value by using the information of multi-hop communication without changing the network topology but increasing the convergence speed.…”

“…The consensus protocol using the information of secondorder neighbors for identical linear systems with communication delays was studied in [15]. Second-order consensus of multi-agent systems with or without communication delays was investigated via second-order neighbors information in [16].…”

Distributed consensus-based formation control for multiple nonholonomic mobile robots with a specified reference trajectory

“…Therefore, from a practical point of view, using relative local information (i.e. distributed control) makes the control laws more realistic (Gu and Hu 2009;Pan, Nian, and Guo 2012).…”