不确定水质系统的控制问题

IF 2 4区 计算机科学 Q3 AUTOMATION & CONTROL SYSTEMS
Y. Chen, C. S. Lee
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引用次数: 1

摘要

我们考虑一个单河段水质系统,不仅在输入和输出水平上受到有界不确定干扰,而且速率系数的有界不确定变化。当时变不确定性的边界已知时,提出了两类基于测量状态的鲁棒控制器,以保证系统的一致有界性和一致最终有界性。如果控制只有输出而不是完整状态可用,则建议使用一类估计的基于状态的控制来实现期望的性能。当不确定性的边界未知时,我们提出了一类控制器,它利用不确定性的泛函性质,保证了系统的一些期望性质,其中之一是所有系统响应收敛于零。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
On the control of an uncertain water quality system
We consider a one-reach water quality system subject not only to bounded uncertain disturbances at the input and output levels but also to bounded uncertain variations of the rate coefficients. When the bounds of the time-varying uncertainties are known, two classes of robust controllers, based on the measured state, are proposed to assure some desired performance, including uniform boundedness and uniform ultimate boundedness. If only output rather than full state is available for the control, a class of estimated state-based control is proposed for the desired performance. When the bounds of the uncertainties are not known, we propose a class of controllers which, using the functional properties of the uncertainties, guarantees some desired system properties, one of which is the convergence to zero of all system responses.
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来源期刊
Optimal Control Applications & Methods
Optimal Control Applications & Methods 工程技术-应用数学
CiteScore
3.90
自引率
11.10%
发文量
108
审稿时长
3 months
期刊介绍: Optimal Control Applications & Methods provides a forum for papers on the full range of optimal and optimization based control theory and related control design methods. The aim is to encourage new developments in control theory and design methodologies that will lead to real advances in control applications. Papers are also encouraged on the development, comparison and testing of computational algorithms for solving optimal control and optimization problems. The scope also includes papers on optimal estimation and filtering methods which have control related applications. Finally, it will provide a focus for interesting optimal control design studies and report real applications experience covering problems in implementation and robustness.
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