一类不确定非线性系统的规定时间指令滤波控制。

IF 6.3 2区 计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS
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引用次数: 0

摘要

本文深入探讨了在不确定非线性系统中实施规定时间指令滤波控制这一复杂挑战。首先,定义了规定时间函数,为后续控制器设计奠定基础。随后,针对具有未知参数的高阶非线性系统,提出了一种新型规定时间指令滤波控制器。这种控制器能保证误差在预定时间范围内迅速收敛,并能在后续控制器运行过程中周期性地收敛为零。这项研究的关键创新在于控制器的设计,它不受系统初始条件的影响。这一独特之处使得规定时间可以在物理约束条件下灵活设定,与传统的有限时间控制理论有明显不同。理论分析表明,控制器能在规定时间内实现全状态跟踪误差收敛。研究成果的有效性通过两个仿真案例得到了证实,为非线性系统控制理论的完善和适应性做出了重大贡献。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Prescribed-time command filtered control for a class uncertain nonlinear systems

This article delves into the intricate challenge of implementing prescribed-time command filtered control in the context of uncertain nonlinear systems. Firstly, a prescribed-time function is defined to lay the groundwork for subsequent controller design. Subsequently, a novel prescribed-time command Filtered controller is proposed for high-order nonlinear systems featuring unknown parameters. This controller guarantees swift error convergence within a predefined time range, with the added capability of periodic error convergence to zero during subsequent controller operations. A pivotal innovation in this study lies in the controller’s design, which remains unaffected by the system’s initial conditions. This unique feature enables the prescribed time to be flexibly set within physical constraints, diverging markedly from conventional finite-time control theory. Theoretical analysis has conclusively shown that the controller achieves full-state tracking error convergence within the specified time frame. The efficacy of the research findings is substantiated through two simulation cases, underscoring a substantial contribution to the refinement and adaptability of nonlinear system control theory.

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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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