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 :
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