An Explicit Reference Governor for Linear Sampled-Data Systems With Disturbance Inputs and Uncertain Time Delays
An Explicit Reference Governor for Linear Sampled-Data Systems With Disturbance Inputs and Uncertain Time Delays
复制标题
DOI：
10.1109/tac.2022.3140379
复制
发表时间：
2023-01
影响因子：
6.8
通讯作者：
Nan I. Li;Sijia Geng;I. Kolmanovsky;A. Girard
中科院分区：
文献类型：
--
作者：
Nan I. Li;Sijia Geng;I. Kolmanovsky;A. Girard
在这篇文章中，我们提出了一种新的参考总督（RG）计划的预稳定线性采样数据系统，以满足逐点的时间约束存在有界干扰和不确定的输入和/或测量延迟。基于一个显式的约束系统响应的参考信号的阶跃变化，使用对数范数导出，该RG计划产生一个封闭的形式的解决方案，用于更新的参考信号在采样时刻，保证采样时间和样本间的约束满足。由于其封闭形式的表达，建议RG计划需要最小的计算工作量，从而适合于有限的计算能力的系统。
In this article, we propose a novel reference governor (RG) scheme for prestabilized linear sampled-data systems to satisfy pointwise-in-time constraints in the presence of bounded disturbances and uncertain input and/or measurement delays. Based on an explicit bound on the system response to step changes in the reference signal derived using the logarithmic norm, this RG scheme yields a closed-form solution for updating the reference signal at sample time instants that guarantees both sample-time and intersample constraint satisfaction. Due to its closed-form expression, the proposed RG scheme requires minimum computational effort and is thereby suitable for systems with limited computing capability.