A Review on Controllability of Multi-Agent Systems using Switched Network

TL;DR

This paper reviews the controllability of multi-agent systems with switching networks, focusing on leader-follower dynamics, and discusses how topology changes and non-determinism affect system control.

Contribution

It provides a comprehensive survey of controllability in multi-agent systems with switching networks, highlighting the impact of topology dynamics and leader-based control strategies.

Findings

Controllability depends on network topology and agent interactions.

Switching networks introduce challenges due to time delays and non-determinism.

Leader-follower structures are effective for controlling multi-agent systems.

Abstract

Controllability refers to a situation in which a Multi-agent System may be steered from one state to another using specified rules. As a result, there is belief in achieving a given condition by explicit advances. The level of dynamism in the topology and the level of determinism in the environment are two fundamental criteria that determine multi-agent system controllability. The topology of a powerful multi-agent system changes on a regular basis, altering the connections between agents and hence their cooperative effort. This survey focuses on the controllability of MAS in a switching network with a leader that follows the closest neighbour collaboration rule. The leader/pioneer is a single agent that functions as an output to control other agents/members. Because the results of activities are unknown under non-deterministic situations, agents must choose new activities after observing the aftereffects of their prior actions, which causes time delay and limits agent proactivity. Controllability is often achieved in a concentrated manner in the literature, where a certain leader educates supporters how to achieve a specific goal. Controllability has different applications which incorporates managing airplane, vehicle, and robots.