Impulsive Consensus of Multiagent Systems With Limited Bandwidth Based on Encoding–Decoding

Abstract

Energy constrains are always significant to be considered in control of multiagent systems. Besides, nonlinear phenomena are often involved into such systems. In this paper, we discuss the impulsive consensus problem of nonlinear multiagent systems via impulsive protocol with limited bandwidth communication based on encoding-decoding. The scheme based on encoding-decoding with impulsive protocol is introduced to multiagent systems in general directed networks topology of which the graph is strongly connected. The impulsive protocols and limited bandwidth communication enhance the performance on energy saving and the involvement of nonlinear dynamics could suit more real-world cases. The design of encoders and decoders is presented, which is the key to achieve the goal that the information exchanged is subject to limited bandwidth communication. The conditions to guarantee the impulsive consensus and the conditions to avoid quantizer saturation are obtained. Moreover, the convergence rate of such multiagent systems are also characterized by the analysis of the exponential consensus. The numerical simulations are presented to support the theoretical results.

Quantized Multi-Tracking in the Multiagent System With Sampled Position Data via Intermittent Control

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Guaranteed‐cost finite‐time consensus of multi‐agent systems via intermittent control

“…A fundamental research topic on cooperative control is consensus, and numerous related results have been obtained. [7][8][9][10] In the consensus control of multi-agent systems, the convergence rate has always been the focus. The studies referenced above mainly investigated the problem of asymptotic consensus control of multi-agent systems.…”

“…Thus, it has attracted the attention of a growing number of scholars. A fundamental research topic on cooperative control is consensus, and numerous related results have been obtained 7–10 …”

Study on Consensus of the Forth-Order Discrete-Time Multiagent System in Directed Networks

“…The multiagent system, as a new distributed computing technology and tool for complex system analysis, has been developed rapidly since 1970. In recent years, the multiagent system has been applied to various practical applications, such as consensus, formation control and flocking, etc; see, e.g., [1]- [4].…”