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A State Estimation Method for Event-triggered Transport Complex Networks Based on Set Membership Estimation

A technology for complex network and member estimation, applied in the transmission system, electrical components, etc., can solve problems affecting the effect of system state estimation, to ensure the safe and stable operation of the network, save transmission energy and network bandwidth resources, and avoid matrix inequalities Effect

Active Publication Date: 2022-04-01
SHANDONG UNIV OF SCI & TECH
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AI Technical Summary

Problems solved by technology

In practical applications, the bounded noise interference in the system is ubiquitous, if not dealt with properly, it will seriously affect the estimation effect of the system state

Method used

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  • A State Estimation Method for Event-triggered Transport Complex Networks Based on Set Membership Estimation
  • A State Estimation Method for Event-triggered Transport Complex Networks Based on Set Membership Estimation
  • A State Estimation Method for Event-triggered Transport Complex Networks Based on Set Membership Estimation

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Embodiment Construction

[0091] Basic thought of the present invention is:

[0092] A state estimation method for event-triggered transmission complex network is provided. Based on the member estimation technique, the method uses the known boundary information of the system model and noise to recursively calculate the estimation set including the true value of the system state.

[0093] However, since the directly calculated estimation set usually does not have a regular shape, it will cause a heavy calculation burden and affect the real-time application of the estimation algorithm. Estimation set, and the fully symmetric polytope is such a set.

[0094] Compared with more ellipsoids used in membership estimation, the embodiment of the present invention is based on a fully symmetric polytope membership estimation algorithm to estimate the system state with higher accuracy and simpler operation, suitable for Apply online.

[0095] The general definition of a fully symmetrical polytope is given first,...

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Abstract

The invention discloses a method for state estimation of a complex network based on event trigger transmission based on member estimation. The method specifically includes the following steps: establishing a state space model of each node of the complex network; establishing an event trigger mechanism to schedule each node of the complex network The transfer model for transferring data to the membership estimator; calculating the estimated parameters of the membership estimator; constructing the membership estimator to calculate the fully symmetric polytope estimation set containing the true state of the complex network. The method of the present invention has considered the influence of the high-order terms of the nonlinear function Taylor expansion in the complex network dynamic equation, and the calculated fully symmetrical polytope estimation set must contain the true value of the system state; and, using the set membership estimation of the present invention parameters, it can ensure that the obtained fully symmetric polytope estimation set has the smallest F radius, thereby ensuring the accuracy of estimation; in addition, the method of the present invention is given in a recursive form, so it can monitor the operation status of complex networks in real time and ensure network Safe and smooth operation.

Description

technical field [0001] The invention belongs to the technical field of state estimation, and in particular relates to a state estimation method of an event-triggered transmission complex network based on member estimation. Background technique [0002] System status information has many important applications in engineering, such as system control, real-time monitoring, and safe operation of the system. However, due to physical limitations and other reasons, especially for complex networks with more complex structures, it is difficult to obtain all the state variables of the system. Therefore, the importance of state estimation technology is self-evident. [0003] State estimation is one of the basic research topics in the control discipline. Its basic idea is to estimate the system state that satisfies a specific performance index based on the received measurement output of the system. In industry, signal transmission is usually limited by resources such as transmission en...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04L41/147H04L41/14H04L41/142
CPCH04L41/147H04L41/145H04L41/142
Inventor 赵忠义王子栋邹磊白星振
Owner SHANDONG UNIV OF SCI & TECH
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