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Identification of parametric models : from experimental data
Eric Walter,Luc Pronzato +1 more
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The article was published on 1997-01-01 and is currently open access. It has received 1251 citations till now. The article focuses on the topics: Parametric model & Experimental data.read more
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Proceedings ArticleDOI
Parameter identification of magnetic coupled resonators in power wireless transfer systems
TL;DR: This paper presents a procedure for wireless power transfer system parameter identification using ANSYS Extractor Q3D Program, used to compute the C, L, R and G matrices, for different configurations, structures, frequencies and distances between coils.
Proceedings ArticleDOI
Experimental Based Identification Model of Low Fluid Flow Rate Control Systems
TL;DR: In this paper, the authors developed an identification model of control systems from experimental plant behavior of low fluid flow rate control, where the actuator of diaphragm pump has more control ability than solenoid valve, particularly due to its stability and the relation of voltage input of pump and flow rate output can be written as best transfer function model on number of poles and zeros by 2 respectively.
Book ChapterDOI
Hybrid Modeling for Systems Biology: Theory and Practice
TL;DR: This chapter aims at giving an overview on theoretical fundaments of hybrid modeling for middle-out systems biology and to provide practical examples of applications, which include hybrid metabolic flux analysis on ill-defined metabolic networks, hybrid dynamic models with unknown reaction kinetics, and hybrid dynamic model of biochemical systems with intrinsic time delays.
Dissertation
Modeling, analysis and reduction of biological systems
TL;DR: A novel method called Principal Process Analysis (PPA) is introduced that allows the analysis of high-dimensional models, by decomposing them into biologically meaningful processes, whose activity or inactivity is evaluated during the time evolution of the system.