Multi-agent system fault diagnosis method based on finite time observer

Abstract

The invention relates to a multi-agent system fault diagnosis method based on a finite time observer, which belongs to the technical field of multi-agent systems. Through building a finite time unknown input observer in a certain specific agent, the fault of an adjacent agent is thus observed, and distributed fault diagnosis on the multi-agent system is realized. According to the distributed fault diagnosis design method designed in the invention, influences on fault diagnosis by external time-varying interference can be suppressed theoretically, and in a preset finite time, effective and accurate finite time online diagnosis and fault estimation can be carried out when fault happens to any agent in each adjacently-connected agent or fault happens to multiple agents at the same time.

Description

Technical field [0001] The invention relates to a fault diagnosis method of a multi-agent system based on a finite-time observer, and belongs to the technical field of application to a multi-agent system. Background technique [0002] In recent years, as a tool that can effectively handle complex systems, multi-agent technology has attracted widespread attention and has been applied in many important fields. However, the unique advantages of multi-agent systems, such as network links, free distribution, and information sharing, also make them more susceptible to failures. When a certain agent in the multi-agent system fails, the failure can affect other agents through the unique network link of the multi-agent system, so that the entire multi-agent system is subjected to severe tests. Therefore, in order to improve the stability and security of the multi-agent system, the fault diagnosis technology for it should also be given high attention. Fault diagnosis can be divided into ...

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Problems solved by technology

However, this method still has the following deficiencies: First, although the method takes into account the existence of external interference, it only uses the design idea of ​​robust control to reduce its adverse effects on the fault diagnosis results to a certain extent in the design process, but cannot completely Elimination, which more or less caused the reduction of diagnostic accuracy at the design level; second, the multi-agent system fault diagnosis method adopted by this method needs to establish a corresponding observer in each agent, The cost is high; third, although this method can perform fault diagnosis within a limited time, the limited time cannot be pre-set, and the rapidity of online real-time fault diagnosis needs to be further improved

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