An Improved Gray Similarity Degree with Adaptive Weight for Guidance Simulation Credibility Evaluation

Fei Wang; Xiao Geng Liang

doi:10.4028/www.scientific.net/AMM.364.202

Paper Titles

Research on Public Transportation Based on Complex Network and Multi-Agent Simulation
p.183

Grey New Information GRM(1,1) Model and its Application Based on Reciprocal Accumulated Generating and Background Value Optimization
p.188

Pseudo Two-Hop Distributed Consensus Algorithm with Time-Delay
p.192

Stability Prediction on Mathieu Equation of Delayed Periodic Term Based on Full-Discretization Method
p.197

An Improved Gray Similarity Degree with Adaptive Weight for Guidance Simulation Credibility Evaluation
p.202

Grey New Information GOM(1,1) Model Based on Opposite-Direction Accumulated Generating and its Application
p.207

The Computation of Azimuth and the Shortest Path between Two Points on the Earth's Surface
p.211

Complex Equipment FMECA Method and Application Based on the Product Family
p.216

Researches of the Differential Fiber Bragg Grating Seepage Pressure Sensor
p.223

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 364An Improved Gray Similarity Degree with Adaptive...

An Improved Gray Similarity Degree with Adaptive Weight for Guidance Simulation Credibility Evaluation

Abstract:

Credibility evaluation of guidance system simulation based on similarity degree is researched. Concerning the engineering problems that similarity degree method is faced, an improved gray similarity degree method combined with variable weight function is presented. Firstly, the ameliorated similarity degree method using for static simulation parameter is built by utilizing the gray measure function of flight data. Then, the sequences coming from dynamic simulation parameters are divided into important region and unimportant region, the un-homogeneous exponential operator as well as the mean operator is applied and the improved similarity degree method using for dynamic simulation parameter is established. Finally, the method is verified through actual measurement data. Practice proves that the improved method can give more creditable evaluation result and have a bright prospect.

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Periodical:

Applied Mechanics and Materials (Volume 364)

Pages:

202-206

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.364.202

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Online since:

August 2013

Authors:

Fei Wang, Xiao Geng Liang

Keywords:

Adaptive Weight, Credibility Evaluation, Grey Measure, Guidance Simulation, Similarity Degree

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