Certified Evaluation of Uncertainty in Models of Dynamical Systems

Adaptive Regulation of Block-Oriented Nonlinear Systems Using Binary Sensors With Applications to Automotive Engine Control

W Zhao, E Weyer, G Yin, D Dong, Y Zhang, T Shen

2023-03-01

In this article, adaptive regulation of block-oriented nonlinear systems, i.e., Hammerstein and Wiener systems, with binary-valued..

State Conditional Filtering

A Care, MC Campi, E Weyer

2022-07-01

In many dynamical state estimation problems, not all the values that the state can take have the same importance; hence, missing t..

Non-asymptotic Confidence Regions for the Transfer Functions of Errors-in-Variables Systems

MM Khorasani, E Weyer

2022-05-01

Finite-sample system identification (FSID) methods provide guaranteed confidence regions for the unknown model parameter of dynami..

A General Framework for Nonparametric Identification of Nonlinear Stochastic Systems

Wenxiao Zhao, Erik Weyer, George Yin

2021-01-01

In this paper, nonparametric identification of nonlinear autoregressive systems with exogenous inputs (NARX) is considered; a gene..

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

HA Nasir, A Carè, E Weyer

2019-07-01

This paper formulates a control problem for systems that are affected by uncertain inputs and are vulnerable to risks as a chance-..

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

A Care, BC Csaji, MC Campi, E Weyer

2018-01-01

Finite-sample system identification algorithms can be used to build guaranteed confidence regions for unknown model parameters und..

Asymptotic properties of SPS confidence regions

E Weyer, MC Campi, BC Csáji

2017-08-01

Sign-Perturbed Sums (SPS) is a system identification method that constructs non-asymptotic confidence regions for the parameters o..

Undermodelling Detection with Sign-Perturbed Sums

Algo Care, Marco C Campi, Balazs Cs Csaji, Erik Weyer

2017-01-01

Sign-Perturbed Sums (SPS) is a finite sample system identification method that can build exact confidence regions for the unknown ..

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

HA Nasir, A Carè, E Weyer

2016-01-01

One of the major risks associated with rivers is flooding, and a desirable way to manage rivers is to reduce the risk of severe fl..

Control of Rivers with Flood Avoidance

HA Nasir, A Care, E WEYER

2016-01-01

River control and decision support system can help improving water resource management. Rivers often have two modes of operations:..

Closed-loop applicability of the Sign-Perturbed Sums method

BC Csaji, E Weyer

2015-02-08

Sign-Perturbed Sums (SPS) is a non-asymptotic system identification method that can construct confidence regions for general linea..

Sign-perturbed sums: A new system identification approach for constructing exact non-asymptotic confidence regions in linear regression models

BC Csáji, MC Campi, E Weyer

2015-01-01

We propose a new system identification method, called Sign-Perturbed Sums (SPS), for constructing non-asymptotic confidence region..

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

We propose a generalization of the recently developed system identification method called Sign-Perturbed Sums (SPS). The proposed ..

Strong consistency of the Sign-Perturbed Sums method

BC Csaji, MC Campi, E Weyer

2014-01-01

Sign-Perturbed Sums (SPS) is a recently developed non-asymptotic system identification algorithm that constructs confidence region..