Abstract
This paper is concerned with the parameter identification problem for chaotic systems. An evolutionary programming (EP) approach is newly introduced to solve this problem. The unknown parameters of chaotic systems are taken as a parameter vector, and will be optimally approximated to the exact values of parameters by using the proposed EP algorithm. The unified chaotic systems including Lorenz, Lü and Chen systems are used in an illustrative example to show the validity of the proposed method.
| Original language | English |
|---|---|
| Pages (from-to) | 2074-2079 |
| Number of pages | 6 |
| Journal | Expert Systems With Applications |
| Volume | 35 |
| Issue number | 4 |
| DOIs | |
| Publication status | Published - 2008 Nov 1 |
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All Science Journal Classification (ASJC) codes
- Artificial Intelligence
- Computer Science Applications
Cite this
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Parameter identification of chaotic systems using evolutionary programming approach. / Chang, Jen F.; Yang, Yi Sung; Liao, Teh-Lu; Yan, Jun J.
In: Expert Systems With Applications, Vol. 35, No. 4, 01.11.2008, p. 2074-2079.Research output: Contribution to journal › Article
TY - JOUR
T1 - Parameter identification of chaotic systems using evolutionary programming approach
AU - Chang, Jen F.
AU - Yang, Yi Sung
AU - Liao, Teh-Lu
AU - Yan, Jun J.
PY - 2008/11/1
Y1 - 2008/11/1
N2 - This paper is concerned with the parameter identification problem for chaotic systems. An evolutionary programming (EP) approach is newly introduced to solve this problem. The unknown parameters of chaotic systems are taken as a parameter vector, and will be optimally approximated to the exact values of parameters by using the proposed EP algorithm. The unified chaotic systems including Lorenz, Lü and Chen systems are used in an illustrative example to show the validity of the proposed method.
AB - This paper is concerned with the parameter identification problem for chaotic systems. An evolutionary programming (EP) approach is newly introduced to solve this problem. The unknown parameters of chaotic systems are taken as a parameter vector, and will be optimally approximated to the exact values of parameters by using the proposed EP algorithm. The unified chaotic systems including Lorenz, Lü and Chen systems are used in an illustrative example to show the validity of the proposed method.
UR - http://www.scopus.com/inward/record.url?scp=48749116331&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=48749116331&partnerID=8YFLogxK
U2 - 10.1016/j.eswa.2007.09.021
DO - 10.1016/j.eswa.2007.09.021
M3 - Article
VL - 35
SP - 2074
EP - 2079
JO - Expert Systems with Applications
JF - Expert Systems with Applications
SN - 0957-4174
IS - 4
ER -