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Design of robust filters with improved robustness margins via parameter scaling

Publications associées (34)

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Centre frequency and bandwidth tunable bandpass filter based on RF MEMS (10-14GHz)

Mihai Adrian Ionescu, Catherine Dehollain, Montserrat Fernandez-Bolanos Badia, Suat Ayoz

This paper presents a novel tunable bandpass filter design with independent control of both the centre frequency and the bandwidth by means of analogue-series and digital-shunt MEMS capacitors. The filter is designed for operation in X and Ku bands with 4 ...

Ieee Service Center, 445 Hoes Lane, Po Box 1331, Piscataway, Nj 08855-1331 Usa2009

A path integral formalism of DNA looping probability

Ludovica Cotta-Ramusino

In this thesis we describe a path integral formalism to evaluate approximations to the probability density function for the location and orientation of one end of a continuum polymer chain at thermodynamic equilibrium with a heat bath. We concentrate on th ...

EPFL2008

On the Input Design for Data-Driven Correlation-Based Tuning of Multivariable Controllers

Dominique Bonvin, Alireza Karimi, Ljubisa Miskovic

An iterative data-driven correlation-based method has been proposed recently to tune multivariable linear time-invariant controllers in closed-loop operation. In this contribution, the preferred way of exciting a 2 × 2 system is investigated via the accura ...

2006

Optimal Conditionally Unbiased Bounded-Influence Inference in Dynamic Location and Scale Models

Loriano Mancini, Fabio Trojani

This paper studies the local robustness of estimators and tests for the conditional location and scale parameters in a strictly stationary time series model. We first derive optimal bounded-influence estimators for such settings under a conditionally Gauss ...

2005

General state-space models

Thomas Gsponer

In time series analysis state-space models provide a wide and flexible class. The basic idea is to describe an unobservable phenomenon of interest on the basis of noisy data. The first constituent of such a model is the so-called state equation, which char ...

EPFL2004

A robust scheme for cellular power control

Ali H. Sayed

In this paper, we propose a robust filtering approach to distributed power allocation. A robust filter is used to predict the channel gain and interference under incomplete knowledge of the shadowing coefficient. Simulation results show the superior perfor ...

2003

Computer-intensive statistical methods

Diego Kuonen

The saddlepoint approximation was introduced into statistics in 1954 by Henry E. Daniels. This basic result on approximating the density function of the sample mean has been generalized to many situations. The accuracy of this approximation is very good, p ...

EPFL2001

A Unified Approach to the Steady-state and Tracking Analyses of Adaptive Filtering Algorithms

Ali H. Sayed

Most adaptive filters are inherently nonlinear and time variant systems. The nonlinearities in the update equations of these filters usually lead to significant difficulties in the study of their performance. This paper develops a new feedback approach to ...

1999

Stability of the LMS adaptive filter by means of a state equation

Ali H. Sayed

This work studies the mean-square stability of stochastic gradient algorithms without resorting to slow adaptation approximations or to the widely used, yet rarely applicable, independence assumptions. This is achieved by reducing the study of the mean-squ ...

1998

Iterative solutions of min-max parameter estimation with bounded data uncertainties

Ali H. Sayed

This paper deals with the important problem of parameter estimation in the presence of bounded data uncertainties. Its recent closed-form solution in leads to more meaningful results than alternative methods (e.g., total least-squares and robust estimation ...

1997