建设性的
计算机科学
理论(学习稳定性)
非线性系统
订单(交换)
控制工程
数学优化
控制理论(社会学)
数学
工程类
控制(管理)
人工智能
程序设计语言
过程(计算)
机器学习
物理
财务
量子力学
经济
作者
Sergio Galeani,Sophie Tarbouriech,Matthew C. Turner,Luca Zaccarian
标识
DOI:10.23919/ecc.2009.7074421
摘要
In this paper, several constructive linear and nonlinear anti-windup techniques are presented and explained. Two approaches, namely direct linear anti-windup (DLAW) and model recovery anti-windup (MRAW), are described in an algorithmic way, in order to illustrate their main features. Hereafter, theoretical conditions ensuring stability and performance, their applicability, their accompanying guarantees, and their merits and deficiencies are given. The possible extensions to less standard problem settings are also briefly discussed.
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