基于优化的控制器的规则性

IF 2.6 3区计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS

European Journal of Control Pub Date : 2025-01-01 DOI:10.1016/j.ejcon.2024.101098

Pol Mestres , Ahmed Allibhoy , Jorge Cortés

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引用次数: 0

摘要

本文通过求解以系统状态为参数，以系统输入为优化变量的优化问题，研究了基于优化的控制器的正则性。在优化问题数据的广泛假设下，我们提供了关于其规律性的详尽结果集合，并研究了它们对解的存在唯一性和所得到的闭环系统的前向不变性保证的含义。我们讨论了结果在系统和控制的不同领域的广泛相关性。

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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Regularity properties of optimization-based controllers

This paper studies regularity properties of optimization-based controllers, which are obtained by solving optimization problems where the parameter is the system state and the optimization variable is the input to the system. Under a wide range of assumptions on the optimization problem data, we provide an exhaustive collection of results about their regularity, and examine their implications on the existence and uniqueness of solutions and the forward invariance guarantees for the resulting closed-loop systems. We discuss the broad relevance of the results in different areas of systems and controls.

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来源期刊

European Journal of Control 工程技术-自动化与控制系统

CiteScore

5.80

自引率

5.90%

发文量

131

审稿时长

1 months

期刊介绍： The European Control Association (EUCA) has among its objectives to promote the development of the discipline. Apart from the European Control Conferences, the European Journal of Control is the Association''s main channel for the dissemination of important contributions in the field. The aim of the Journal is to publish high quality papers on the theory and practice of control and systems engineering. The scope of the Journal will be wide and cover all aspects of the discipline including methodologies, techniques and applications. Research in control and systems engineering is necessary to develop new concepts and tools which enhance our understanding and improve our ability to design and implement high performance control systems. Submitted papers should stress the practical motivations and relevance of their results. The design and implementation of a successful control system requires the use of a range of techniques: Modelling Robustness Analysis Identification Optimization Control Law Design Numerical analysis Fault Detection, and so on.