DocumentCode
1836742
Title
The Research Survey of System Identification Method
Author
Li Fu ; Pengfei Li
Author_Institution
Autom. Dept., Shenyang Aerosp. Univ., Shenyang, China
Volume
2
fYear
2013
fDate
26-27 Aug. 2013
Firstpage
397
Lastpage
401
Abstract
At present, as a method of establishing mathematical model of the system, the system identification has been widely applied to the automatic control, aviation, space flight, astronomy, medicine, biology, marine ecology and society, economics and many other fields. With the rapid development of science and technology, the status of system identification technique in various disciplines is becoming increasingly important. This paper firstly introduces traditional methods of linear system identification, and then modern methods of nonlinear system identification are introduced briefly Based on the neural network, fuzzy logic, genetic algorithm, swarm intelligence optimization algorithms, auxiliary model identification algorithm, multi-innovation identification algorithm and hierarchical identification algorithm, and finally the author analyses the developing tendency and prospect of system identification.
Keywords
fuzzy logic; genetic algorithms; identification; linear systems; neural nets; nonlinear systems; swarm intelligence; auxiliary model identification algorithm; fuzzy logic; genetic algorithm; hierarchical identification algorithm; linear system identification; mathematical model; multiinnovation identification algorithm; neural network; nonlinear system identification; swarm intelligence optimization algorithms; system identification method; Algorithm design and analysis; Genetic algorithms; Mathematical model; Neural networks; Nonlinear systems; Optimization; System identification; System identification; auxiliary model identification algorithm; fuzzy logic; genetic algorithm; hierarchical identification algorithm; multi-innovation identification algorithm; neural network; swarm intelligence optimization algorithms;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Human-Machine Systems and Cybernetics (IHMSC), 2013 5th International Conference on
Conference_Location
Hangzhou
Print_ISBN
978-0-7695-5011-4
Type
conf
DOI
10.1109/IHMSC.2013.242
Filename
6642770
Link To Document