Dynamic Simulations of Nonlinear Multi-Domain Systems Based on Genetic Programming and Bond Graphs

被引：0

作者：

狄文辉 ^{[1
]}

孙波 ^{[1
]}

徐立新 ^{[1
,2
]}

机构：

[1] Department of Computer Science and Technology,Henan Mechanical and Electrical Engineering College

[2] Department of Control Science and Engineering,Huazhong University of Science and Technology

来源：

Tsinghua Science and Technology | 2009年 / 14卷 / 05期

关键词：

genetic programming(GP); bond graph(BG); evolutionary computation; system simulation;

D O I：

暂无

中图分类号：

TP13 [自动控制理论];

学科分类号：

0711 ; 071102 ; 0811 ; 081101 ; 081103 ;

摘要：

A dynamic simulation method for non-linear systems based on genetic programming(GP) and bond graphs(BG) was developed to improve the design of nonlinear multi-domain energy conversion systems.The genetic operators enable the embryo bond graph to evolve towards the target graph according to the fitness function.Better simulation requires analysis of the optimization of the eigenvalue and the filter circuit evolution.The open topological design and space search ability of this method not only gives a more optimized convergence for the operation,but also reduces the generation time for the new circuit graph for the design of nonlinear multi-domain systems.

引用

页码：612 / 616

页数：5

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