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Preferential Estimation for Uncertain Linear Systems at Steady State: Application to Filamentous Fungal Fermentation

Related publications (33)

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Méthodes de rééchantillonnage pour l'estimation de variance

Anthony Christopher Davison

Nous passons en revue des techniques de rééchantillonnage utilisées pour l'estimation de variance en sondage. Les techniques de rééchantillonnage considérées sont basées sur la linéarisation, le jackknife, les répétitions équilibrées répétées, et le bootst ...

2006

Theory and methodology for estimation and control of errors due to modeling, approximation, and uncertainty

Fabio Nobile

The reliability of computer predictions of physical events depends on several factors: the mathematical model of the event, the numerical approximation of the model, and the random nature of data characterizing the model. This paper addresses the mathemati ...

Elsevier2005

Estimation et prédiction en temps-réel de tables origine-destination

Michel Bierlaire

Le problème d'estimation de tables origine-destination (OD) à partir de données de comptages est de première importance pour un grand nombre d'applications impliquant la modélisation d'un système de transport. En effet, ces tables appréhendent statistiquem ...

2004

Fast Prototyping of Reconfigurable Architectures: An Estimation and Exploration Methodology from System-Level Specifications

Sébastien Bilavarn

Rapid evaluation and design space exploration at the algorithmic level are important issues in the design cycle. In this paper we propose an original area vs delay estimation methodology that targets reconfigurable architectures. Two main steps compose the ...

SPIE2003

Parameter estimation with multiple sources and levels of uncertainties

Ali H. Sayed

Least-squares designs are sensitive to errors in the data, which can be due to several factors including the approximation of complex models by simpler ones, the presence of unavoidable experimental errors when collecting data, or even due to unknown or un ...

IEEE2000

Moving Horizon Estimation for Piecewise Affine Systems

Giancarlo Ferrari Trecate

Many practical control, estimation and fault detection problems involve hybrid systems, here losely defined as systems involving both continuous and discrete variables. Various approaches have been proposed for modeling hybrid systems. Often engineering sy ...

2000

Linear Estimation

Ali H. Sayed

This textbook is intended for a graduate-level course and assumes familiarity with basic concepts from matrix theory, linear algebra, and linear system theory. Six appendices at the end of the book provide the reader with enough background and review mater ...

Prentice Hall2000

Indefinite-quadratic estimation and control: a unified approach to H 2 and H∞ theories

Ali H. Sayed

This monograph presents a unified mathematical framework for a wide range of problems in estimation and control. The authors discuss the two most commonly used methodologies: the stochastic H2 approach and the deterministic (worst-case) H approach. Despite ...

Society for Industrial and Applied Mathematics1999

Estimation in the presence of multiple sources of uncertainties with applications

Ali H. Sayed

We develop an estimation technique for problems that involve multiple sources of uncertainties or errors in the data. The method allows the designer to explicitly incorporate into the problem formulation bounds on the sizes of the uncertainties; thus leadi ...

1998

Parameter Estimation in the Presence of Bounded Data Uncertainties

Ali H. Sayed

We formulate and solve a new parameter estimation problem in the presence of data uncertainties. The new method is suitable when a priori bounds on the uncertain data are available, and its solution leads to more meaningful results, especially when compare ...

Society for Industrial and Applied Mathematics1998