Event-driven consistency control method with communication relationship automatic matching

Abstract

The present invention discloses an event-driven consistency control method with communication relationship automatic matching, belonging to the technical field of automation control. The method is for a multi-agent system with one leader. Firstly, a single agent is subjected to abstract modeling to obtain the state space realization model of a controlled multi-agent system, if the multi-agent system is stable, an event-driven tracking control protocol is designed, the communication relation of the system is simplified as a tree communication network by using a communication relationship automatic matching program, each follower is allowed to track the direct leader of the follower one to one, and the event-driven consistency control of the whole multi-agent system is realized. According to the method, the amount of communication in the system is reduced, the communication pressure of the system is reduced, the event trigger frequency of the system is reduced, the system power consumption is reduced, and at the same time, compared with the traditional distributed event-driven control method, the design process of a control protocol is greatly simplified.

Description

technical field [0001] The invention belongs to the technical field of automatic control, and relates to event-driven control and consistency control of multi-agent systems, in particular to a novel consistency control method combining a communication relationship automatic matching method with a simplified network structure and a distributed event-driven control strategy , which can effectively reduce the communication scale and system energy consumption in the system. Background technique [0002] At present, the coordinated control method of multi-agent system (referred to as system in this paper) has been more and more widely used in practical problems. This is mainly because a single agent has relatively simple functions and limited information collection, processing, and communication capabilities, and cannot solve increasingly complex practical tasks, while multi-agents have higher intelligence and stronger problem solving capabilities. It can realize all kinds of ar...

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Problems solved by technology

This is mainly because a single agent has relatively simple functions and limited information collection, processing, and communication capabilities, and cannot solve increasingly complex practical tasks, while multi-agents have higher intelligence and stronger problem solving capabilities. Ability to achieve various arduous, complex, and high-precision tasks that cannot be completed by a single agent

[0003] However, for a multi-agent system with a leader, the existing control methods always allow each agent to use all the neighbor information it can obtain; in a large-scale control network, this will undoubtedly increase the communication pressure of the system

When applying an event-driven strategy to achieve distributed consistency control, this will also increase the event trigger frequency of each agent, resulting in an increase in system energy consumption

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