A prescribed-time functional observer for systems with unknown input

IF 6.3 2区 计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS
Jiatong He , Jiancheng Zhang , Yan Wang , Xudong Zhao
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引用次数: 0

Abstract

This paper different from traditional approaches, proposes a novel method where the target vector z is treated as the state variable of an observer LTI system by system reformulations, which greatly facilitates the use of the classical Luenberger state observer to address the prescribed-time functional observer (PTFO) design issue. Subsequently, for the newly formulated LTI system with z as the state variable, a PTFO is developed for the single-output case that is capable of accurately estimating z within a user-defined time, and is subsequently extended to the multiple-output case. More importantly, it can avoid the jumps that usually occur in Engel’s prescribed-time observers. Besides, The sufficient and necessary conditions for PTFO realization are explicitly formulated through the original system matrices, thereby enabling designers/users to conduct preliminary compatibility assessments prior to control scheme implementation. Finally, two examples are presented to demonstrate the effectiveness of the proposed method.
具有未知输入的系统的规定时间函数观测器
与传统方法不同,本文提出了一种新的方法,通过系统重构将目标向量z作为观测器LTI系统的状态变量,极大地促进了经典Luenberger状态观测器的应用,解决了规定时间函数观测器(PTFO)的设计问题。随后,对于以z为状态变量的新制定的LTI系统,开发了能够在用户定义的时间内准确估计z的单输出情况的PTFO,并随后扩展到多输出情况。更重要的是,它可以避免通常发生在恩格尔规定时间观察者身上的跳跃。此外,通过原始系统矩阵明确制定了PTFO实现的充要条件,使设计人员/用户能够在控制方案实施之前进行初步的兼容性评估。最后,通过两个算例验证了所提方法的有效性。
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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来源期刊
ISA transactions
ISA transactions 工程技术-工程:综合
CiteScore
11.70
自引率
12.30%
发文量
824
审稿时长
4.4 months
期刊介绍: ISA Transactions serves as a platform for showcasing advancements in measurement and automation, catering to both industrial practitioners and applied researchers. It covers a wide array of topics within measurement, including sensors, signal processing, data analysis, and fault detection, supported by techniques such as artificial intelligence and communication systems. Automation topics encompass control strategies, modelling, system reliability, and maintenance, alongside optimization and human-machine interaction. The journal targets research and development professionals in control systems, process instrumentation, and automation from academia and industry.
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