A new approach for approximating the free transfer function in Q-parametrization

2004 IEEE International Conference on Robotics and Automation (IEEE Cat. No.04CH37508) Pub Date : 2004-09-02 DOI:10.1109/CACSD.2004.1393899

G. Sanchez, J. Ferrer

引用次数: 0

Abstract

This paper presents a new approach for approximating the free transfer function in Q-parametrization. Its main advantage is that the number of parameters to be tuned during the design process is reduced, when compared to others methods. As a design example, the "two-mass and spring" benchmark control problem was solved, using GESA: an evolutionary non-linear optimization technique

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q参数化中自由传递函数近似的一种新方法

本文提出了一种近似q参数化中自由传递函数的新方法。与其他方法相比，它的主要优点是在设计过程中需要调整的参数数量减少了。作为设计实例，利用演化非线性优化技术GESA解决了“双质量和弹簧”基准控制问题

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

2004 IEEE International Conference on Robotics and Automation (IEEE Cat. No.04CH37508)

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