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Effects of service loading on the behaviour of a suspension bridge

Publications associées (72)

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Transient analysis of data-normalized adaptive filters

Ali H. Sayed

Abstract: This paper develops an approach to the transient analysis of adaptive filters with data normalization. Among other results, the derivation characterizes the transient behavior of such filters in terms of a linear time-invariant state-space model ...

IEEE2003

Identification of an Experimental Hybrid System

Giancarlo Ferrari Trecate

In this paper we present an experimental study in the identification of an industrial hybrid system. Piecewise ARX models, that consist of a number of ARX models, together with the partition of the regressor space into regions where each of the models is v ...

2003

Energy Conservation and State-Space Characterization of Adaptive Filter Performance

Ali H. Sayed

This article provides an overview of an energy-based approach to the study of the steady-state and transient performances of adaptive filters. The analysis employs energy-conservation arguments and is based on studying the energy flow through each iteratio ...

2002

Development of a two-term model for the confinement in ELMy H-modes using the global confinement and pedestal databases

Yves Martin

The overlap of pulses in the pedestal database and the global H-mode confinement database has been increased. This has resulted in a new improved combined dataset with core and pedestal energy data. Regression analysis of this dataset indicates that in ELM ...

2002

A Learning Algorithm for Piecewise Linear Regression

Giancarlo Ferrari Trecate

A new learning algorithm for solving piecewise linear regression problems is proposed. It is able to train a proper multilayer feedforward neural network so as to reconstruct a target function assuming a different linear behavior on each set of a polyhedra ...

Springer, London2001

Monotonicity Constraints in the Estimation of Distributions with Smoothing Splines

Eva Maria Restle

A non-parametric method of distribution estimation for univariate data is presented. The idea is to adapt the smoothing spline procedure used in regression to the estimation of distributions via a scatterplot smoothing of theempirical distribution function ...

2000

An adaptive filter robust to data uncertainties

Ali H. Sayed

This paper considers the problem of adaptive filtering in the presence of uncertainties in the regression data. A recursive procedure is derived that is based on solving local optimization problems that attemps to alleviate the worst-case effect of data un ...

2000

In this paper we propose a new nonparametric regression algorithm based on Fuzzy systems with overlapping concepts. We analyze its consistency properties, showing that it is capable to reconstruct an infinite-dimensional class of function when the size of ...

2000

Bayesian methods for nonparametric regression with neural networks

Giancarlo Ferrari Trecate

A regression problem amounts to the reconstruction of a multi-dimensional hypersurface from a finite number of noisy samples. In modern engineering regression algorithms play a fundamental role due to their capability of inferring mathematical models of ph ...

1999

Clock Synchronization over Data Transmission Networks

Jean-Pierre Hubaux

The following invention disclosure is generally concerned with the synchronization of receiver time-bases in data transmission networks and specifically concerned with a least squares linear regression technique having a fast startup phase and improved jit ...

1998