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A state estimation method for complex network based on stochastic communication protocol

A complex network and state estimation technology, applied in data exchange networks, digital transmission systems, electrical components, etc., can solve the problem of not being able to process complex network state estimation at the same time, and achieve the effect of easy solution and improved accuracy

Active Publication Date: 2018-12-25
HARBIN UNIV OF SCI & TECH
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Problems solved by technology

[0004] The purpose of the present invention is to solve the problem that existing state estimation methods cannot simultaneously deal with the state estimation of complex networks with random in-coupling and measurement loss phenomena

Method used

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  • A state estimation method for complex network based on stochastic communication protocol
  • A state estimation method for complex network based on stochastic communication protocol
  • A state estimation method for complex network based on stochastic communication protocol

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specific Embodiment approach 1

[0025] Specific implementation mode one: combine figure 1 This embodiment will be described. The state estimation method of a complex network under a random communication protocol described in this embodiment, the specific steps of the method are:

[0026] Step 1. Under the random communication protocol, a complex network dynamic model with measurement loss and random in-coupling phenomena is established;

[0027] Step 2. Augment the complex network dynamic model established in step 1, and construct a state estimator; use the state estimator to estimate the state of the augmented complex network dynamic model;

[0028] Step 3. Calculate the upper bound of the one-step prediction error covariance matrix ∑ of the state estimation of the complex network dynamic model after the augmentation k+1|k ;

[0029] Step 4. According to the one-step prediction error covariance matrix upper bound of the state estimation of the augmented complex network dynamic model calculated in step 3 ...

specific Embodiment approach 2

[0034] Specific implementation mode two: this implementation mode further limits the state estimation method of a complex network under a random communication protocol described in the first implementation mode, and the specific process of the first step is as follows:

[0035] Under the random communication protocol, a complex network dynamic model with measurement loss and random in-coupling phenomena is established, and the state space form of the complex network dynamic model is:

[0036]

[0037] the y i，k =λ i，k C i，k x i，k +v i，k (2)

[0038] where: x i，k Represents the state variable of the i-th node at the k moment, i=1, 2,..., N, N represents the number of nodes,; x i，k+1 Represents the state variable of the i-th node at time k+1, f i (x i，k ) is the nonlinear function corresponding to the state variable of the i-th node at the k moment, and the nonlinear function f i (x i，k ) to x i，k is differentiable, j represents the node coupled with i, j=1, 2,......

specific Embodiment approach 3

[0046] Specific implementation mode three: this implementation mode further limits the state estimation method of a complex network under a random communication protocol described in the second implementation mode, and the specific process of the second step in this implementation mode is as follows:

[0047] For each node i of the complex network dynamic model, the formula (5) is obtained by augmenting:

[0048]

[0049] in: x k is the state variable of the augmented complex network dynamic model at the kth moment; x 1，k is the state variable of the first node at time k, for x 1，k the transpose of x k+1 is the state variable of the augmented complex network dynamic model at time k+1; f(x k ) is the nonlinear function corresponding to the state variable of the augmented complex network dynamic model at the kth moment, f 1 (x 1，k ) is the nonlinear function corresponding to the state variable of the first node at time k, for f 1 (x 1，k ) transpose; W=[w ij ] ...

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Abstract

The invention relates to a state estimation method of complex network under random communication protocol, which is used in the network state estimation technical field of control system. The invention solves the problem that the existing state estimation method cannot simultaneously process the state estimation of a complex network with random internal coupling and measurement loss phenomenon. The invention simultaneously considers the measurement loss phenomenon with unknown probability and the influence of random internal coupling on the state estimation performance, comprehensively considers the effective information of the estimation error covariance matrix by using the extended Kalman filter method, and achieves the purpose of anti-disturbance. Compared with the existing complex network state estimation method under the communication protocol, the method of the invention can control the estimation error in a very small range, and can improve the estimation accuracy by more than 10% while being easy to solve. The invention can be applied to the technical field of network state estimation.

Description

technical field [0001] The invention belongs to the technical field of network state estimation of a control system, and in particular relates to a method for state estimation of a complex network under a random communication protocol. Background technique [0002] The state estimation problem of complex networks has always been an important research problem in control systems, and has been widely used in signal estimation tasks in engineering, power grids, social networks and other fields. [0003] For nonlinear complex networks with random in-coupling and measurement loss phenomena under random communication protocols, because the existing state estimation methods cannot deal with the state estimation problems of complex networks with such phenomena at the same time, these phenomena have always affected the existing State Estimation Performance of State Estimation Methods. Contents of the invention [0004] The purpose of the present invention is to solve the problem th...

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Application Information

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IPC IPC(8): H04L12/24H04L29/06
CPCH04L41/145H04L69/26
Inventor 胡军张红旭赵文杰杨昱宋诗宇高岩
Owner HARBIN UNIV OF SCI & TECH
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