Certified evaluation of uncertainty in models of dynamical systems

Grant number: DP130104028 | Funding period: 2013 - 2018

Completed

Abstract

The purpose of this project is to develop methods which will aid engineers to better analyse the accuracy of models created using experimental data. To support the use of the methods, a toolbox with software implementations will also be developed.

Related publications (10)

Non-asymptotic confidence regions for the parameters of EIV systems

M Moravej Khorasani, E Weyer

2020-05-01

In this paper we consider the problem of constructing non-asymptotic confidence regions for the parameters of Errors-In-Variables ..

A Scenario-Based Stochastic MPC Approach for Problems With Normal and Rare Operations With an Application to Rivers

Hasan Arshad Nasir, Algo Care, Erik Weyer

2019-07-01

Finite-sample system identification: An overview and a new correlation method

A Care, BC Csaji, MC Campi, E Weyer

2018-01-01

Asymptotic properties of SPS confidence regions

Erik Weyer, Marco Claudio Campi, Balazs Csanad Csaji

2017-08-01

A randomised approach to Multiple Chance-Constrained Problems: An application to flood avoidance

HA Nasir, A Carè, E Weyer

2016-01-01

Control of Rivers with Flood Avoidance

HA Nasir, A Care, E WEYER

2016-01-01

Closed-loop applicability of the Sign-Perturbed Sums method

BC Csaji, E Weyer

2015-02-08

Sign-Perturbed Sums: A New System Identification Approach for Constructing Exact Non-Asymptotic Confidence Regions in Linear Regression Models

Balazs Csanad Csaji, Marco Claudio Campi, Erik Weyer

2015-01-01

Sign-Perturbed Sums (SPS) with Instrumental Variables for the Identification of ARX Systems

V Volpe, BC Csaji, A Care, E WEYER, MC Campi

2015-01-01

Strong Consistency of the Sign-Perturbed Sums Method

Balazs Csanad Csaji, Marco C Campi, Erik Weyer

2014-01-01

Researchers

Erik Weyer