DocumentCode :
3326353
Title :
System identification via Adaptive Tabu Search
Author :
Puangdownreong, D. ; Areerak, K.-N. ; Srikaew, A. ; Sujitjorn, S. ; Totarong, P.
Author_Institution :
Sch. of Electr. Eng., Suranaree Univ. of Technol., Nakhon Ratchasima, Thailand
Volume :
2
fYear :
2002
fDate :
11-14 Dec. 2002
Firstpage :
915
Abstract :
This article presents a novel Adaptive Tabu Search (ATS) method. Our additional back-tracking and adaptive search radius mechanisms enhance the conventional Tabu Search (TS) method to achieve faster and more efficient search. The main application of the ATS method discussed in this article is identification of system models. Examples cover hot-air tube, system with torsional resonance, static nonlinearity and inverted pendulum.
Keywords :
identification; search problems; ATS; Adaptive Tabu Search; adaptive search; backtracking; genetic algorithm; hot-air tube; system identification; Adaptive systems; Artificial intelligence; Difference equations; Educational institutions; Genetic algorithms; Nonlinear systems; Regression analysis; Research and development; Resonance; System identification;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Technology, 2002. IEEE ICIT '02. 2002 IEEE International Conference on
Print_ISBN :
0-7803-7657-9
Type :
conf
DOI :
10.1109/ICIT.2002.1189290
Filename :
1189290
Link To Document :
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