A constructive design of state observer synthesis for 2-D continuous systems with time-varying delays

IF 1.7 4区 工程技术 Q2 COMPUTER SCIENCE, THEORY & METHODS Multidimensional Systems and Signal Processing Pub Date : 2024-03-11 DOI:10.1007/s11045-024-00885-3
Chakir El-Kasri, Mohammed Alfidi
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Abstract

There are many observer design approaches that have been developed to estimate the state of a linear time delay system. This paper focuses on the observer design problem for two-dimensional (2-D) continuous systems with delays proposed by Roesser’s state space model. A new sufficient condition for 2-D state observer design of 2-D continuous-time systems with delays is developed. The key point is that the Lyapunov theory that is used here allows us to solve the problem using the technique of linear matrix inequalities, which is used to establish the 2-D state observers with delays. Finally, to illustrate the effectiveness of the proposed methodology, a numerical example is provided.

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具有时变延迟的二维连续系统状态观测器合成的构造设计
目前已有许多观测器设计方法用于估计线性时延系统的状态。本文重点讨论 Roesser 状态空间模型提出的二维(2-D)带延迟连续系统的观测器设计问题。本文为带延迟的二维连续时间系统的二维状态观测器设计提出了一个新的充分条件。关键在于,这里使用的李亚普诺夫理论允许我们使用线性矩阵不等式技术来解决问题,而线性矩阵不等式技术则用于建立有延迟的二维状态观测器。最后,为了说明所提方法的有效性,我们提供了一个数值示例。
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来源期刊
Multidimensional Systems and Signal Processing
Multidimensional Systems and Signal Processing 工程技术-工程:电子与电气
CiteScore
5.60
自引率
8.00%
发文量
50
审稿时长
11.7 months
期刊介绍: Multidimensional Systems and Signal Processing publishes research and selective surveys papers ranging from the fundamentals to important new findings. The journal responds to and provides a solution to the widely scattered nature of publications in this area, offering unity of theme, reduced duplication of effort, and greatly enhanced communication among researchers and practitioners in the field. A partial list of topics addressed in the journal includes multidimensional control systems design and implementation; multidimensional stability and realization theory; prediction and filtering of multidimensional processes; Spatial-temporal signal processing; multidimensional filters and filter-banks; array signal processing; and applications of multidimensional systems and signal processing to areas such as healthcare and 3-D imaging techniques.
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