Event trigger based multi-agent consistency control method

Abstract

The invention provides an event trigger based multi-agent consistency control method, which enables information communication to be conducted among multiple agents only when an event trigger occurs, thereby reducing the calculation processing load of an agent processor and the communication frequency among the multiple agents. Meanwhile, digital channel communication is adopted among the agents, and a dynamic coding and decoding quantization mechanism, which reduces network bandwidth occupation, is set for a communication instruction, thereby enabling the data communication amount in each time to be also reduced, and greatly alleviating the network transmission load. In addition, a consistency control scheduling scheme which combines a self-operation control strategy and an event trigger based self-regulation control strategy is further adopted, thereby being capable of realizing effective multi-agent consistency control, and thus effectively solving a problem in the prior art that a multi-agent consistency control mode relying on real-time continuous information exchange is difficult to be implemented or disordered in multi-agent cooperative control in realistic network application conditions.

Description

technical field [0001] The invention relates to the technical field of multi-agent control, in particular to an event-triggered multi-agent consistency control method. Background technique [0002] In recent years, with the cross-development of many disciplines such as computer network, electronic communication, biotechnology, automatic control and artificial intelligence, multi-agent network, as the core of distributed system control technology, has increasingly attracted the attention and interest of many researchers. . Multi-agent network is not only an important branch of artificial intelligence research, but also a very important direction in the research of complex systems. [0003] First, the definition of an agent is given. An agent refers to a single device or machine with independent sensors, processors, and communication elements, and has certain self-organization, learning, and reasoning capabilities. Therefore, a multi-agent system refers to a communication ne...

AI Technical Summary

Problems solved by technology

If the multi-agent system runs in a stable and stable state without sampling, the disadvantages of this time-continuously scheduled information sampling and interactive control method will appear, that is, one is to waste the computing resources of the agent processor, The second is to waste the network bandwidth resources for communication between multi-agents

[0006] Not only that, the existing multi-agent system needs to rely on the consistent control mode of real-time continuous information exchange, which also encounters challenges and difficulties in practical application

Because, in many outdoor real network conditions, due to the limitation of the network communication environment, the network communication bandwidth and transmission rate are limited, and even effective information transmission cannot be carried out in some time periods, so the precise state of each agent controller It is difficult to achieve real-time and continuous mutual exchange of information values, which makes it difficult to implement the multi-agent consensus control method that relies on real-time continuous information exchange in many real network application conditions, or problems such as multi-agent cooperative control confusion

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