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Showing papers by "Isabela Roxana Birs published in 2021"


Journal ArticleDOI
02 Sep 2021-Sensors
TL;DR: A comprehensive review of the latest advances in fractional-order sensors and filters, with a focus on design methodologies and their real-life applicability reported in the last decade, can be found in this paper.
Abstract: The present manuscript aims at raising awareness of the endless possibilities of fractional calculus applied not only to system identification and control engineering, but also into sensing and filtering domains. The creation of the fractance device has enabled the physical realization of a new array of sensors capable of gathering more information. The same fractional-order electronic component has led to the possibility of exploring analog filtering techniques from a practical perspective, enlarging the horizon to a wider frequency range, with increased robustness to component variation, stability and noise reduction. Furthermore, fractional-order digital filters have developed to provide an alternative solution to higher-order integer-order filters, with increased design flexibility and better performance. The present study is a comprehensive review of the latest advances in fractional-order sensors and filters, with a focus on design methodologies and their real-life applicability reported in the last decade. The potential enhancements brought by the use of fractional calculus have been exploited as well in sensing and filtering techniques. Several extensions of the classical sensing and filtering methods have been proposed to date. The basics of fractional-order filters are reviewed, with a focus on the popular fractional-order Kalman filter, as well as those related to sensing. A detailed presentation of fractional-order filters is included in applications such as data transmission and networking, electrical and chemical engineering, biomedicine and various industrial fields.

18 citations


Journal ArticleDOI
TL;DR: In this paper, an alternative design procedure of FO-IMC controllers based on a novel approximation method of the process time delay, proving the efficiency of the proposed method and its suitability for time delay systems.

5 citations


Journal ArticleDOI
TL;DR: In this paper, the authors combine the well-known benefits of fractional calculus in biomedical applications with the intricate tasks revolving around automatic anesthesia, and propose fractional order control algorithms based on an open-source patient simulator that combines hemodynamics and anesthesia in a single customizable framework.

4 citations


Journal ArticleDOI
25 Aug 2021
TL;DR: The presented modeling and control methodologies are solidified by real-life experimental data used to validate the veracity of the presented concepts and the robustness of the control strategy is experimentally validated on both Newtonian and non-Newtonian environments.
Abstract: The present work tackles the modeling of the motion dynamics of an object submerged in a non-Newtonian environment. The mathematical model is developed starting from already known Newtonian interactions between the submersible and the fluid. The obtained model is therefore altered through optimization techniques to describe non-Newtonian interactions on the motion of the vehicle by using real-life data regarding non-Newtonian influences on submerged thrusting. For the obtained non-Newtonian fractional order process model, a fractional order control approach is employed to sway the submerged object’s position inside the viscoelastic environment. The presented modeling and control methodologies are solidified by real-life experimental data used to validate the veracity of the presented concepts. The robustness of the control strategy is experimentally validated on both Newtonian and non-Newtonian environments.

4 citations


DOI
07 Oct 2021
TL;DR: In this article, an impedance-based fractional order model was proposed to describe the dynamics of pain assessment based on experimental data, which is validated on real-life data and validated on the real life data.
Abstract: The present study presents the development of an impedance based fractional order model that describe the dynamics of pain assessment based on experimental data. Bioimpedance spectroscopy is used to acquire real-life electrodermal responses from a healthy subject undergoing induced acute pain. The measurements register both normal epidermal values in the absence of pain and bioimpedance measurements at the presence of sudden, acute, pain. The aim is to develop a general model that describes the feeling of pain in the presence/absence of active stimulus. The complex dynamics of the acquired data suggest the usage of fractional calculus, a powerful tool that provides a versatile and efficient solution of modeling complex physical phenomena. The proposed models are obtained using constrained optimization routines and are successfully validated on the real life data.

Proceedings ArticleDOI
20 Oct 2021
TL;DR: In this article, the authors compared two popular fractional order control strategies consisting of a Fractional Order Internal Model Control (FOIMC) and a fractional Order Proportional Integral (FOPI) controller.
Abstract: The paper focuses on comparing two popular fractional order control strategies consisting of a Fractional Order Internal Model Control (FOIMC) and a Fractional Order Proportional Integral (FOPI) controller. The two strategies are powerful tools in controlling processes with different complexities, using the full potential of fractional calculus, a powerful mathematical tool that generalizes differintegral operations to any non-integer, arbitrary, order. The dynamics of a robot moving through a non-Newtonian fluid is described by a complex fractional order transfer model, which is used to tune both controllers. The inverse of the fractional order process model together with a fractional order filter are used to develop the FOIMC control strategy. The parameters of the FOIMC controller are determined using frequency domain specifications for phase margin and gain crossover frequency. Furthermore, the FOPI controller is developed using the same specifications as for the FOIMC case, with an additional robustness specification through the isodamping property. The two controllers are compared based on the closed loop system performance for test cases related robustness to uncertainties of the process model, step reference and output disturbance rejection.

DOI
07 Oct 2021
TL;DR: In this article, an event-based Proportional Integral Derivative Controller (PIC) is used for vertical take-off and landing on a real-life vertical takeoff and landing platform.
Abstract: Event-based Proportional Integral Derivative controllers are a non-standard approach of implementing classical PID controllers. The main advantage of this implementation choice is the reduced control effort, a useful feature in industrial applications, the kingdom of the PID control. The present study combines two important industrial traits: the PID autotuner to facilitate the engineer's task and its event based implementation to optimize resources such as CPU and bandwidth. The paper provides the tuning methodology of an event-based PID controller using the KC autotuner method. A highly nonlinear real-life vertical take-off and landing platform is used as a case study to implement the event-based PID as well as the classical, discrete PID. The performance of both controllers is assessed in order to experimentally determine whether the event-based approach is a viable solution for real-life implementations.