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Performance Assessment of Linear State Estimators Using Synchrophasor Measurements

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Anisotropic error control for environmental applications

Luca Dede'

In this paper we aim at controlling physically meaningful quantities with emphasis on environmental applications. This is carried out by an efficient numerical procedure combining the goal-oriented framework [R. Becker, R. Rannacher, An optimal control app ...

Elsevier2008

Diffusion mechanisms for fixed-point distributed Kalman smoothing

Ali H. Sayed

We consider the problem of fixed-point distributed Kalman smoothing, where a set of nodes are required to estimate the initial condition of a certain process based on their measurements of the evolution of the process. Specifically, we consider linear stat ...

2008

Proposal strategies for joint state-space tracking with particle filters

Volkan Cevher

A proposal function determines the random particle support of a particle filter. When this support is distributed close to the true target density, filter's estimation performance increases for a given number of particles. In this paper, a proposal strateg ...

2005

Smoothing Spline Distribution Function Estimation: Validation and Application

Eva Maria Restle

The estimation of cumulative distributions is classically performed using the empirical distribution function. This estimator has excellent properties but is lacking continuity. Smooth versions of the empirical distribution function have been obtained by k ...

2001

Regularization networks: fast weight calculation via Kalman filtering

Giancarlo Ferrari Trecate

Regularization networks are nonparametric estimators obtained from the application of Tychonov regularization or Bayes estimation to the hypersurface reconstruction problem. Their main drawback is that the computation of the weights scales as

O(n^3)

wher ...

2001

Comparison of robust estimation and Kalman filtering applied to fingertip tracking in human-machine interfaces

Ali H. Sayed

This paper studies the application of robust state-space estimation with uncertain models to tracking problems in human-machine interfaces. The need for robust methods arises from the desire to control the influence of uncertain environmental conditions on ...

2001

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

Regularization networks: Fast weight calculation via Kalman filtering

Giancarlo Ferrari Trecate

O(n^3)

wher ...

2000

State estimation with uncertain parametric models

Ali H. Sayed

This paper develops robust estimation algorithms for state-space models that are subject to bounded parametric uncertainties. Compared with existing robust filters, the new filters perform data regulaarization rather than de-regularization and they do not ...

2000

Applications of a robust state estimator to the EEF power system

The EEF utility, which has its headquarters in Fribourg, Switzerland, is planning to install in its new energy management system a robust Schweppe-type Huber GM-state estimator (SHGM). Prior to the installation, the iterative algorithm that implements the ...

1998

Regularization networks: fast weight calculation via Kalman filtering

Giancarlo Ferrari Trecate

O(n^3)

wher ...

2001

Regularization networks: Fast weight calculation via Kalman filtering

Giancarlo Ferrari Trecate

O(n^3)

wher ...

2000