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Identification of parametric models : from experimental data

Eric Walter, +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.

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Journal ArticleDOI

Ellipsoidal estimation under model uncertainty

TL;DR: In this paper, an extension of state estimation for models with unknown-but-bounded errors is described, which applies to linear discrete-time dynamic systems and analytical optimal or sub-optimal solutions are presented.
Proceedings ArticleDOI

System Identification for Robust Control

TL;DR: This paper presents a robust-control-oriented system identification method aiming to minimize the normalized coprime factor uncertainty of the performance-weighted system.
Journal ArticleDOI

Synthesis of RTD models VIA stochastic procedures: simulated annealing and genetic algorithm

TL;DR: An industrial approach with experimental data is proposed for the qualification step and for the description and quantification of air flows patterns and the associated pollutant transfers observed in ventilated indoor spaces, and particularly in nuclear ventilation networks.
Journal Article

Guaranteed parameter estimation for cooperative models

TL;DR: In this paper, the parameters of cooperative models are estimated in a bounded error context, i.e., all uncertain quantities are assumed to be bounded, with known bounds, and guaranteed estimation is then the characterization of the set of all parameter vectors that are consistent with the model and experimental data, given these bounds.

Optimal Sensing and Actuation Policies for Networked Mobile Agents in a Class of Cyber-Physical Systems

TL;DR: Optimal Sensing and Actuation Policies for Networked Mobile Agents in a Class of Cyber-Physical Systems is presented, which aims to establish policies for optimal sensing and acting policies for networked mobile agents.