从最小-最大鲁棒控制到模糊逻辑控制

K. Liu, F. L. Lewis
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引用次数: 1

摘要

具有有界不确定性的动力系统的鲁棒控制无论从理论还是从实践的角度来看都是一个具有挑战性的课题。经典的鲁棒控制,特别是所谓的最小-最大控制,由于其不连续性,可能导致整个动力系统不稳定。另一方面,模糊逻辑控制的成功部分归功于质心去模糊化技术,使控制信号始终保持连续和平滑,同时保持最小-最大鲁棒控制的优点。本文讨论了从最小-最大控制到模糊逻辑控制的转换,并讨论了其实现方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
From min-max robust control to fuzzy logic control
The robust control of dynamical systems with bounded uncertainties is a challenging topic from either the theoretical or the practical point of view. The classical robust control, especially the so-called min-max control, may cause the whole dynamical system unstable due to its discontinuity. On the other hand, the fuzzy logic control, partially owe its success to the centroid defuzzification technique, makes the control signal always continuous and smooth while maintaining the merit of the min-max robust control. This paper deals with the transformation from min-max control to fuzzy logic control and discusses its implementation.<>
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