109 citations · 955 across the 41 of their papers we have counts for
23 papers · 1 filter
Data-Driven Nonlinear Identification of Li-Ion Battery Based on a Frequency Domain Nonparametric Analysis
Rishi Relan, Yousef Firouz, Jean-Marc Timmermans +1
Lithium ion batteries are attracting significant and growing interest, because their high energy and high power density render them an excellent option for energy storage, particul…
Data driven discrete-time parsimonious identification of a nonlinear state-space model for a weakly nonlinear system with short data record
Rishi Relan, Koen Tiels, Anna Marconato +2
Many real world systems exhibit a quasi linear or weakly nonlinear behavior during normal operation, and a hard saturation effect for high peaks of the input signal. In this paper,…
A Local Polynomial Approach to Nonparametric Estimation of the Best Linear Approximation of Lithium-Ion Battery From Multiple Datasets
Rishi Relan, Koen Tiels, Jean-Marc Timmermans +1
Battery short-term electrical impedance behavior varies between linear, linear time-varying, or nonlinear at different operating conditions. Data-based electrical impedance modelin…
Recursive Discrete-Time Models for Continuous-Time Systems Under Band-Limited Assumptions
Rishi Relan, Johan Schoukens
Discrete-time models are very convenient to simulate a nonlinear system on a computer. In order to build the discrete-time simulation models for the nonlinear feedback systems (whi…
Using the Best Linear Approximation With Varying Excitation Signals for Nonlinear System Characterization
Alireza Fakhrizadeh Esfahani, Johan Schoukens, Laurent Vanbeylen
Block oriented model structure detection is quite desirable since it helps to imagine the system with real physical elements. In this work we explore experimental methods to detect…
Measuring the Noise Cumulative Distribution Function Using Quantized Data
Paolo Carbone, Johan Schoukens, István Kollár +1
This paper considers the problem of estimating the cumulative distribution function and probability density function of a random variable using data quantized by uniform and non-un…
Improved Tactile Resonance Sensor for Robotic Assisted Surgery
David Oliva Uribe, Johan Schoukens, Ralf Stroop
This paper presents an improved tactile sensor using a piezoelectric bimorph able to differentiate soft materials with similar mechanical characteristics. The final aim is to devel…
Grey-box state-space identification of nonlinear mechanical vibrations
Jean-Philippe Noël, Johan Schoukens
The present paper deals with the identification of nonlinear mechanical vibrations. A grey-box, or semi-physical, nonlinear state-space representation is introduced, expressing the…
Accurate Sine-Wave Amplitude Measurements Using Nonlinearly Quantized Data
Paolo Carbone, Johan Schoukens, István Kollár +1
The estimation of the amplitude of a sine wave from the sequence of its quantized samples is a typical problem in instrumentation and measurement. A standard approach for its solut…
Regularized Nonparametric Volterra Kernel Estimation
Georgios Birpoutsoukis, Anna Marconato, John Lataire +1
In this paper, the regularization approach introduced recently for nonparametric estimation of linear systems is extended to the estimation of nonlinear systems modelled as Volterr…
Information and Statistical Efficiency When Quantizing Noisy DC Values
Antonio Moschitta, Johan Schoukens, Paolo Carbone
This paper considers estimation of a quantized constant in noise when using uniform and nonuniform quantizers. Estimators based on simple arithmetic averages, on sample statistical…
Dynamic Signal Measurements Based on Quantized Data
Paolo Carbone, Johan Schuokens, Antonio Moschitta
The estimation of the parameters of a dynamic signal, such as a sine wave, based on quantized data is customarily performed using the least-square estimator (LSE), such as the sine…
Efficient Multidimensional Regularization for Volterra Series Estimation
Georgios Birpoutsoukis, Péter Zoltán Csurcsia, Johan Schoukens
This paper presents an efficient nonparametric time domain nonlinear system identification method. It is shown how truncated Volterra series models can be efficiently estimated wit…
Structure detection of Wiener-Hammerstein systems with process noise
Erliang Zhang, Maarten Schoukens, Johan Schoukens
Identification of nonlinear block-oriented models has been extensively studied. The presence of the process noise, more precisely its location in the block-oriented model influence…
Parametric System Identification Using Quantized Data
Antonio Moschitta, Johan Schoukens, Paolo Carbone
The estimation of signal parameters using quantized data is a recurrent problem in electrical engineering. As an example, this includes the estimation of a noisy constant value and…
Structure Discrimination in Block-Oriented Models Using Linear Approximations: A Theoretic Framework
Johan Schoukens, Rik Pintelon, Yves Rolain +5
In this paper we show that it is possible to retrieve structural information about complex block-oriented nonlinear systems, starting from linear approximations of the nonlinear sy…
Linear System Identification in a Nonlinear Setting - Nonparametric analysis of the nonlinear distortions and their impact on the best linear approximation
Johan Schoukens, Mark Vaes, Rik Pintelon
This article addresses the following problems: 1) First, a nonlinearity analysis is made looking for the presence of nonlinearities in an early phase of the identification process.…
Improved Initialization for Nonlinear State-Space Modeling
A. Marconato, J. Sjöberg, J. A. K. Suykens +1
This paper discusses a novel initialization algorithm for the estimation of nonlinear state-space models. Good initial values for the model parameters are obtained by identifying s…
Nonlinear state-space modelling of the kinematics of an oscillating circular cylinder in a fluid flow
Jan Decuyper, Tim De Troyer, Mark Runacres +2
The flow-induced vibration of bluff bodies is an important problem of many marine, civil, or mechanical engineers. In the design phase of such structures, it is vital to obtain goo…
Practical Issues in the Synthesis of Ternary Sequences
Alessio De Angelis, Johan Schoukens, Keith R. Godfrey +1
Several issues related to the practical synthesis of ternary sequences with specified spectra are addressed in this paper. Specifically, sequences with harmonic multiples of two an…
A Rigorous Analysis of Least Squares Sine Fitting Using Quantized Data: the Random Phase Case
Paolo Carbone, Johan Schoukens
This paper considers least-square based estimation of the amplitude and square amplitude of a quantized sine wave, done by considering random initial record phase. Using amplitude-…
Extending the Best Linear Approximation Framework to the Process Noise Case
Maarten Schoukens, Rik Pintelon, Tadeusz P. Dobrowiecki +1
The Best Linear Approximation (BLA) framework has already proven to be a valuable tool to analyze nonlinear systems and to start the nonlinear modeling process. The existing BLA fr…
Comparison of several data-driven nonlinear system identification methods on a simplified glucoregulatory system example
Anna Marconato, Maarten Schoukens, Koen Tiels +3
In this paper, several advanced data-driven nonlinear identification techniques are compared on a specific problem: a simplified glucoregulatory system modeling example. This probl…