Distributed multi-intelligent-agent real time fault detection method based on neighbor associated condition

Abstract

The invention discloses a distributed multi-intelligent-agent real time fault detection method based on neighbor associated condition. By converting node models having faults, a new fault detection model is built, fault signals and system condition variables are decoupled, fault detection difficulty is lowered, and only associated condition information of neighbors can be obtained via nodes. According to the distributed multi-intelligent-agent real time fault detection method, by setting fault detection sub-networks and subjecting sub-network models to corresponding linear conversion, node associated condition information can be converted into condition variables in the above fault detection model, and fault detection tasks can be done via the model. The invention provides a new fault detection solution to observe whether faults occur. The invention provides a neighbor associated condition solution for fault detection results. According to the distributed multi-intelligent-agent real time fault detection method, groupment advantages of a multi-intelligent-agent system are fully used, reliability of detection results is increased without system hardware performance improvement, and the distributed multi-intelligent-agent real time fault detection method is high in application value.

Description

technical field [0001] The invention belongs to the technical field of multi-agent control, and in particular relates to a distributed multi-agent real-time fault detection method based on neighbor correlation states. Background technique [0002] In recent years, inspired by the research of biology and human sociology, research on coordinated control of multi-agent systems has been applied in wireless sensor networks, multi-manipulator cooperative assembly, unmanned aerial vehicle formation, satellite formation, cluster spacecraft deep space exploration, etc. It has been widely used in many fields and has become one of the research hotspots in the field of control. Similar to the group advantages in biological and human societies such as fish predation and bird migration, the coordination and cooperation between multiple individuals will greatly improve the intelligence of individual behavior, and better complete many tasks that individual individuals cannot complete. And ...

AI Technical Summary

Problems solved by technology

[0011] The above observers all have the disadvantages of large amount of calculation, poor real-time performance, and difficulty in distributed implementation.

Not suitable for application in large-scale networked control systems

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