基于灰色预测的帐篷地图杆位控制

2002 IEEE International Conference on Industrial Technology, 2002. IEEE ICIT '02. Pub Date : 2002-12-11 DOI:10.1109/ICIT.2002.1189329

Gwo-Ruey Yu

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引用次数: 2

摘要

本文提出了一种新的混沌动力学控制系统。补偿器由极点放置控制器和灰色预测器组成。首先，根据帐篷地图的线性化模型设计了极点放置控制器。用灰色系统理论可以预测线性模型的状态误差。可以预先适当调整控制信号，同时改善控制性能。计算机仿真结果表明，该补偿器能使混沌系统稳定到理想的不动点。

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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Pole-placement control of the tent map by gray prediction

A novel control system of chaotic dynamics is proposed in this study. The compensator is composed of a pole-placement controller and a gray predictor. First, the pole-placement controller is designed according to the linearized model of the tent map. The state error of the linear model can be predicted by the gray system theory. The control signal can be appropriately adjusted in advance and the control performance can be meliorated at the same time. Computer simulations have demonstrated that the compensator can stabilize the chaotic system to a desired fixed point.

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来源期刊

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

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