Reduced Order Interval Observer for Linear Discrete-Time Systems with 2n States and N Outputs

In this paper we design a reduced order interval observer for the unmeasured variables of a particular class of discrete-time linear system. By ensuring the cooperativity and convergence properties applied to the estimation error, the observer provides an upper and a lower estimate, despite the presence of unknown, bounded inputs and perturbations. The class of systems is composed of systems with 2n states and n linearly independent measurements. A numerical simulation shows applicability of the results.

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Publication Details

Journal
Memorias del Congreso Nacional de Control Automático
Published
2024-12-27
DOI
https://doi.org/10.58571/cnca.amca.2024.069
Primary Topic
Stability and Control of Uncertain Systems
Type
article
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article

Reduced Order Interval Observer for Linear Discrete-Time Systems with 2n States and N Outputs

Fernando López‐Caamal, Jesús David Avilés
Memorias del Congreso Nacional de Control Automático
Stability and Control of Uncertain Systems
article

Reduced Order Interval Observer for Linear Discrete-Time Systems with 2n States and N Outputs

Fernando López‐Caamal, Jesús David Avilés
article en

Abstract

In this paper we design a reduced order interval observer for the unmeasured variables of a particular class of discrete-time linear system. By ensuring the cooperativity and convergence properties applied to the estimation error, the observer provides an upper and a lower estimate, despite the presence of unknown, bounded inputs and perturbations. The class of systems is composed of systems with 2n states and n linearly independent measurements. A numerical simulation shows applicability of the results.

Memorias del Congreso Nacional de Control AutomáticoVol. 7(1)
Openalex Percentile: Top 70%
Stability and Control of Uncertain Systems
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Reduced Order Interval Observer for Linear Discrete-Time Systems with 2n States and N Outputs — Fernando López‐Caamal, Jesús David Avilés · Memorias del Congreso Nacional de Control Automático (2024) | TGRS Research Map | TGRS