Manuel Duarte Ortigueira

ORCID: 0000-0003-4270-3284
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About
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Research Areas
  • Fractional Differential Equations Solutions
  • Advanced Control Systems Design
  • Mathematical functions and polynomials
  • Control Systems and Identification
  • Iterative Methods for Nonlinear Equations
  • Nonlinear Differential Equations Analysis
  • EEG and Brain-Computer Interfaces
  • Advanced Adaptive Filtering Techniques
  • Blind Source Separation Techniques
  • Chaos control and synchronization
  • Non-Invasive Vital Sign Monitoring
  • Nonlinear Waves and Solitons
  • Numerical methods for differential equations
  • Image and Signal Denoising Methods
  • Sleep and Wakefulness Research
  • Mathematical and Theoretical Analysis
  • Advanced Differential Equations and Dynamical Systems
  • Neural Networks and Applications
  • Structural Health Monitoring Techniques
  • Digital Filter Design and Implementation
  • Preterm Birth and Chorioamnionitis
  • Matrix Theory and Algorithms
  • Fault Detection and Control Systems
  • Complex Systems and Time Series Analysis
  • Neonatal Respiratory Health Research

Universidade Nova de Lisboa
2016-2025

University of Lisbon
2006-2025

Uninova
2011-2022

Polytechnic Institute of Porto
2015-2022

Instituto de Engenharia de Sistemas e Computadores Investigação e Desenvolvimento
1996-2017

Institute for Systems Engineering and Computers
1988-2015

Portuguese Military Academy
2015

Universidad de La Laguna
2015

Instituto Superior Técnico
1984-2005

Faculdade de Tecnologia e Ciências
2003

10.1016/j.jcp.2014.07.019 article EN Journal of Computational Physics 2014-07-22

10.1016/j.ymssp.2007.11.028 article EN Mechanical Systems and Signal Processing 2007-12-10

Fractional centred differences and derivatives definitions are proposed, generalizing to real orders the existing ones valid for even odd positive integer orders. For each one, suitable integral formulations obtained. The computations of involved integrals lead new generalizations Cauchy derivative. To compute this integral, a special two‐straight‐line path was used. With referred well‐known Riesz potential operators their inverses that emerge as true fractional derivatives, but can be...

10.1155/ijmms/2006/48391 article EN cc-by International Journal of Mathematics and Mathematical Sciences 2006-01-01

A brief introduction to the fractional continuous-time linear systems is presented. It will be done without needing a deep study of derivatives. We show that computation impulse and step responses very similar classic. The main difference lies in substitution exponential by Mittag-Leffler function. present also formulae defining

10.1109/mcas.2008.928419 article EN IEEE Circuits and Systems Magazine 2008-01-01

10.1016/j.cnsns.2018.12.003 article EN Communications in Nonlinear Science and Numerical Simulation 2018-12-03

10.1016/j.cnsns.2017.12.001 article EN Communications in Nonlinear Science and Numerical Simulation 2017-12-06

In this paper, we introduce a unified fractional derivative, defined by two parameters (order and asymmetry). From this, all the interesting derivatives can be obtained. We study one-sided show that most known are particular cases. consider also some myths of Fractional Calculus false derivatives. The results expected to contribute limit appearance differ from existing ones just because they on distinct domains, prevent ambiguous use concept derivative.

10.3390/math10050737 article EN cc-by Mathematics 2022-02-25

The actual state of interplay between Fractional Calculus, Signal Processing, and Applied Sciences is discussed in this paper. A framework for compatible integer fractional derivatives/integrals signals systems context described. It shown how suitable formulations are really extensions the order definitions currently used Processing. particular case linear considered problem initial conditions tackled.

10.3390/fractalfract1010003 article EN cc-by Fractal and Fractional 2017-07-25

This paper addresses the present day problem of multiple proposals for operators under umbrella “fractional derivatives”. Several papers demonstrated that various those “novel” definitions are incorrect. Here classical system theory is applied to develop a unified framework clarify this important topic in Fractional Calculus.

10.3390/math7020150 article EN cc-by Mathematics 2019-02-05

The mathematical description of the charging process time-varying capacitors is reviewed and a new formulation proposed. For it, suitable fractional derivatives are described. case that follow Curie–von Schweidler law considered. Through substitutions, similar scheme for inductors obtained. Formulae voltage/current input/output presented. Backward coherence with classic results established generalised to variable order case. concept tempered fractor introduced related Davidson–Cole model.

10.3390/fractalfract7010086 article EN cc-by Fractal and Fractional 2023-01-12

In the paper, class of continuous-time linear systems is enlarged with inclusion fractional systems. These are described by differential equations. It shown how to compute impulse, step, and frequency responses from transfer function. The theory supported definitions derivative integral, generalisations usual. An introduction fractal signals as outputs differintegrators presented. define a stationary fractal.

10.1049/ip-vis:20000272 article EN IEE Proceedings - Vision Image and Signal Processing 2000-01-01

Fractional central differences and derivatives are studied in this article. These generalisations to real orders of the ordinary positive (even odd) integer order derivatives, also coincide with well known Riesz potentials. The coherence these definitions is by applying functions Fourier transformable functions. Some properties presented particular cases studied.

10.1177/1077546307087453 article EN Journal of Vibration and Control 2008-09-01

10.1016/j.cnsns.2014.09.004 article EN Communications in Nonlinear Science and Numerical Simulation 2014-09-16

Heart Rate Variability (HRV) evaluates the autonomic nervous system regulation and can be used as a monitoring tool in conditions such cardiovascular diseases, neuropathies sleep staging. It extracted from electrocardiogram (ECG) photoplethysmogram (PPG) signals. Typically, HRV is obtained ECG processing. Being PPG sensor widely clinical setups for physiological parameters blood oxygenation ventilatory rate, question arises regarding adequacy extraction. There not consensus being able to...

10.3390/sym14061139 article EN Symmetry 2022-06-01

This paper presents the continuous-time fractional linear systems and their main properties.Two particular classes of models are introduced: autoregresive-moving average type tempered system.For both classes, computations impulse response, transfer function, frequency response discussed.It is shown that such can have integer components.From component we deduce stability.The order always stable.The initial-condition problem analysed it verified depends on structure a correct definition...

10.1109/mcas.2022.3160905 article EN IEEE Circuits and Systems Magazine 2022-01-01

A general framework for fractional signal processing is described and used to derive several interesting formulations. This scheme based on the Liouville approach that gave rise classic Riemann-Liouville Liouville-Caputo derivatives, here dismissed. Liouville's idea consisted of fractionalizing transfer function basic definition derivative. Various coherent formulations are introduced from suitable derivative definitions corresponding ARMA-type linear systems obtained. In particular, Euler...

10.1016/j.dsp.2024.104490 article EN cc-by Digital Signal Processing 2024-03-28

In the paper, class of discrete linear systems is enlarged with inclusion discrete-time fractional systems. These are described by difference equations and frequency responses. It shown how to compute impulse response transfer function. Fractal signals introduced as output special systems: differaccumulators, that can be considered having poles or zeros. The concept differaccumulation discussed, generalising notions fractal 1/f noise, introducing two kinds differaccumulated stochastic...

10.1049/ip-vis:20000273 article EN IEE Proceedings - Vision Image and Signal Processing 2000-01-01
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