Browsing by Subject "Parameter estimation"

Now showing items 1-20 of 106

    • A dynamic fitting strategy for physiological models: a case study of a cardiorespiratory model for the simulation of incremental aerobic exercise 

      Sarmiento Pérez, Carlos Andrés; Hernández Valdivieso, Alher Mauricio; Mañanas Villanueva, Miguel Ángel; Serna Higuita, Leidy Yanet (Multidisciplinary Digital Publishing Institute (MDPI), 2024-04-11)
      Article
      Open Access
      Using mathematical models of physiological systems in medicine has allowed for the development of diagnostic, treatment, and medical educational tools. However, their complexity restricts, in most cases, their application ...

    • A fault detection method for pitch actuators faults in wind turbines 

      Tutivén Gálvez, Christian; Vidal Seguí, Yolanda; Acho Zuppa, Leonardo; Rodellar Benedé, José (2015)
      Conference report
      Open Access
      The paper presents a model-based fault detection method for pitch actuators faults using the normalized gradient method to estimate the parameters of the pitch actuator. One major difficulty is that the input signal to the ...

    • A hybrid system-level prognostics approach with online RUL forecasting for electronics-rich systems with unknown degradation behaviors 

      Al Mohamad, Ahmad; Hoblos, Ghaleb; Puig Cayuela, Vicenç (2020-08)
      Article
      Open Access
      This paper proposes a system-level prognostic approach for power electronic systems with slow degradation profiles. Although a model-based approach has been adopted to deal with such multivariable dynamical systems with ...

    • A method for assessing parameter impact on control-flow discovery algorithms 

      Ribeiro, Joel; Carmona Vargas, Josep (CEUR-WS.org, 2015)
      Conference report
      Open Access
      Given an event log L, a control-flow discovery algorithm f, and a quality metric m, this paper faces the following problem: what are the parameters in f that mostly influence its application in terms of m when applied ...

    • A multiple model adaptive architecture for the state estimation in discrete-time uncertain LPV systems 

      Rotondo, Damiano; Hassani, Vahid; Cristofaro, Andrea (Institute of Electrical and Electronics Engineers (IEEE), 2017)
      Conference report
      Open Access
      This paper addresses the problem of multiple model adaptive estimation (MMAE) for discrete-time linear parameter varying (LPV) systems that are affected by parametric uncertainty. The MMAE system relies on a finite number ...

    • A novel strategy to fit and validate physiological models: a case study of acardiorespiratory model for simulation of incremental aerobic exercise 

      Sarmiento, Carlos Andrés; Serna Higuita, Leidy Yanet; Hernández Valdivieso, Alher Mauricio; Mañanas Villanueva, Miguel Ángel (2023-03-01)
      Article
      Open Access
      Applying complex mathematical models of physiological systems is challenging due to the large number of parameters. Identifying these parameters through experimentation is difficult, and although procedures for fitting and ...

    • Adaptive blind equalization using weighted cumulant slices 

      Vidal Manzano, José; Rodríguez Fonollosa, José Adrián (Institute of Electrical and Electronics Engineers (IEEE), 1994)
      Conference report
      Open Access
      Many linear methods have been proposed in the literature to blindly estimate the ARMA parameters of a time series using HOS. Nevertheless, they are mainly off-line and not much has been done in the adaptive case. The method ...

    • Adaptive nonlinear parameter estimation for a proton exchange membrane fuel cell 

      Xing, Yashan; Na, Jing; Chen, Mingrui; Costa Castelló, Ramon; Roda Serrat, Vicente (Institute of Electrical and Electronics Engineers (IEEE), 2022-08)
      Article
      Open Access
      Parameter estimation is vital for modeling and control of fuel cell systems. However, the nonlinear parameterization is an intrinsic characteristic in the fuel cell models such that classical parameter estimation schemes ...

    • Adaptive principal component analysis for online reduced order parameter extraction in PA behavioral modeling and DPD linearization 

      Pham, Thi Quynh Anh; López Bueno, David; Montoro López, Gabriel; Gilabert Pinal, Pere Lluís (Institute of Electrical and Electronics Engineers (IEEE), 2018)
      Conference report
      Restricted access - publisher's policy
      This paper presents a new method, based on the adaptive principal component analysis (APCA) technique, that iteratively creates and updates an orthogonal data matrix used to estimate the parameters of power amplifier (PA) ...

    • Adaptive system identification based on higher-order statistics 

      Rodríguez Fonollosa, José Adrián; Masgrau Gómez, Enrique José (1991)
      Conference report
      Open Access
      The problem of estimating the autoregressive (AR) parameters of a causal AR moving average (ARMA) (p,q) process using higher-order statistic is addressed. It is shown that there is always a linear combination of p+1 slices ...

    • Advances in nonlinear observer design for state and parameter estimation in energy systems 

      Cecilia Piñol, Andreu (2022-04-19)
      Doctoral thesis
      Open Access
      (English) Critical energy challenges are forcing a rapid modification of the current energy infrastructure. lndeed, larger renewable energy penetration, more distributed generation and storage, and higher degree of autonomy ...

    • An optimized TOPS+ comparison method for enhanced TOPS models 

      Veeramalai, Mallika; Gilbert, David; Valiente Feruglio, Gabriel Alejandro (2010-03-17)
      Article
      Open Access
      Background: Although methods based on highly abstract descriptions of protein structures, such as VAST and TOPS, can perform very fast protein structure comparison, the results can lack a high degree of biological significance. ...

    • Analysis of diversity and equalization techniques applied to M-QAM digital mobile radio systems 

      Valdominos Bardají, Antonio; Casadevall Palacio, Fernando José (Institute of Electrical and Electronics Engineers (IEEE), 1994)
      Conference report
      Open Access
      Presents an investigation of diversity and/or equalization techniques applied to 4 and 16-QAM TDMA radio systems for rapid fading dispersive channels. In particular, typical urban (TU) environments have been considered. A ...

    • Analytic performance evaluation of cumulant-based arma system identification methods 

      Rodríguez Fonollosa, José Adrián; Vidal Manzano, José (IEEE IEEE PRESS, 1993)
      Conference report
      Open Access
      The authors perform an analytic study of some cumulant-based methods for estimating the AR parameters of ARMA processes. The analysis includes new AR identifiability results for pure AR process and the analytic performance ...

    • Analytic performance evaluation of cumulant-based fir system identification methods 

      Rodríguez Fonollosa, José Adrián; Mendel, J M (IEEE IEEE PRESS, 1992)
      Conference report
      Open Access
      The covariances of the third- and fourth-order sample cumulants of stationary processes are derived. The resulting expressions are used to obtain the analytical performance of such methods as a function of the coefficients ...

    • Array covariance error measurement in adaptive parameter estimation 

      Pérez Neira, Ana Isabel; Lagunas Hernandez, Miguel A. (. WORKSHOP ON ADAPTIVE ALGORITHMS IN COMMUNICATIONS, 1992)
      Conference report
      Open Access
      The small error approximation is used to derive a linear relationship between the source parameters (i.e. power levels and directions of arrival) and a measurement of the covariance error matrix, defined as the difference ...

    • Array covariance error measurement in adaptive source estimation 

      Pérez Neira, Ana Isabel; Lagunas Hernandez, Miguel A. (1994)
      Conference report
      Open Access
      The small error approximation is used to derive a linear relationship between the source parameters (i.e. power levels and directions of arrival) and a measurement of the covariance error matrix, defined as the difference ...

    • Array covariance error measurement in adaptive source parameter estimation 

      Pérez Neira, Ana Isabel; Lagunas Hernandez, Miguel A. (1992)
      Conference report
      Open Access
      The small error approximation is used to derive a linear relationship between the source parameters (i.e. power levels and directions of arrival) and a measurement of the covariance error matrix, defined as the difference ...

    • Asymetric modelling and control of an electronic throttle 

      Pujol Vázquez, Gisela; Vidal Seguí, Yolanda; Acho Zuppa, Leonardo; Vargas, Alessandro N. (2016-03)
      Article
      Open Access
      This paper presents an improved model for an automotive electronic throttle inspired on the behavior observed in real-time experiments. Due to a number of issues, particularly the return-spring, the performance of the ...

    • Blind channel estimation and data detection using hidden Markov models theory 

      Antón Haro, Carles; Rodríguez Fonollosa, José Adrián; Rodríguez Fonollosa, Javier (IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 1997-01-01)
      Article
      Open Access
      In this correspondence, we propose applying the hidden Markov models (HMM) theory to the problem of blind channel estimation and data detection. The Baum–Welch (BW) algorithm, which is able to estimate all the parameters ...