Constrained Receding Horizon Output Estimation of Linear Distributed Parameter Systems

被引：3
|
作者：
Xie, Junyao [1 ]
Humaloja, Jukka-Pekka [1 ]
Koch, Charles Robert [2 ]
Dubljevic, Stevan [1 ]
机构：
[1] Univ Alberta, Dept Chem & Mat Engn, Edmonton, AB T6G 2V4, Canada
[2] Univ Alberta, Dept Mech Engn, Edmonton, AB T6G 2V4, Canada
来源：
IEEE TRANSACTIONS ON AUTOMATIC CONTROL | 2023年 / 68卷 / 08期
关键词：
Cayley-Tustin (CT) transformation; constrained receding horizon estimator; distributed parameter systems; infinite-dimensional systems; DISCRETE-TIME-SYSTEMS; STATE ESTIMATION; FEEDBACK STABILIZATION; STABILITY;
D O I：
10.1109/TAC.2022.3217111
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this article, we address the constrained output estimation of discrete-time linear distributed parameter systems in the presence of plant and measurement disturbances. Sufficient conditions are proposed for the strong stability of the proposed moving horizon estimator. We further show that the discrete-time estimation results can be linked to continuous-time infinite-dimensional systems described by partial differential equations with unbounded disturbance and output operators by using the Cayley-Tustin transformation. The theoretical results are illustrated with numerical examples on a 1-D wave equation and a 1-D diffusion equation.
引用
收藏
页码：5103 / 5110
页数：8
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