A Robust Interval Estimator--Based Control Design for Anesthesia Delivery Machines

This paper proposes an Interval Estimator–based controller design for anesthesia delivery machines. The Interval Estimator design is based on the positive structural properties of the system obtained from the drug interaction kinematics and dynamics. The state of the estimator is then used to produce a control input, ensuring that despite some class of perturbations or uncertainties, the Bispectral Index (BIS) converges to a region close to the desired value. Moreover, the design does not require linearizing, filtering, or approximating the nonlinear BIS function to produce the regulating feedback. Additionally, a fault detection scheme is proposed to complement the overall design. Finally, some simulation results illustrate the feasibility of the proposed control approach.

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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.2024.053
Primary Topic
Advanced Control Systems Optimization
Type
article
Field-Weighted Citation Impact
0.00
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article

A Robust Interval Estimator--Based Control Design for Anesthesia Delivery Machines

Héctor Ríos, Jesús David Avilés, Miguel Ramírez‐Barrios, Manuel Mera
Memorias del Congreso Nacional de Control Automático
Advanced Control Systems Optimization
article

A Robust Interval Estimator--Based Control Design for Anesthesia Delivery Machines

Héctor Ríos, Jesús David Avilés, Miguel Ramírez‐Barrios, Manuel Mera
article en

Abstract

This paper proposes an Interval Estimator–based controller design for anesthesia delivery machines. The Interval Estimator design is based on the positive structural properties of the system obtained from the drug interaction kinematics and dynamics. The state of the estimator is then used to produce a control input, ensuring that despite some class of perturbations or uncertainties, the Bispectral Index (BIS) converges to a region close to the desired value. Moreover, the design does not require linearizing, filtering, or approximating the nonlinear BIS function to produce the regulating feedback. Additionally, a fault detection scheme is proposed to complement the overall design. Finally, some simulation results illustrate the feasibility of the proposed control approach.

Memorias del Congreso Nacional de Control AutomáticoVol. 7(1)
Openalex Percentile: Top 69%
Advanced Control Systems Optimization
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