System identification via Adaptive Tabu Search

2002 IEEE International Conference on Industrial Technology, 2002. IEEE ICIT '02. Pub Date : 2002-12-11 DOI:10.1109/ICIT.2002.1189290

D. Puangdownreong, Kongpan Areerak, A. Srikaew, S. Sujitjorn, P. Totarong

引用次数: 55

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.

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基于自适应禁忌搜索的系统识别

提出了一种新的自适应禁忌搜索(ATS)方法。我们附加的回溯和自适应搜索半径机制增强了传统的禁忌搜索(TS)方法，以实现更快、更有效的搜索。本文讨论的ATS方法的主要应用是系统模型的识别。例子包括热空气管、扭转共振系统、静态非线性和倒立摆。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

2002 IEEE International Conference on Industrial Technology, 2002. IEEE ICIT '02.

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