Prof. Erik Weyer
Professor
Electrical and Electronic Engineering
148 Scholarly works
15 Projects
HIGHLIGHTS
2021
Journal article
Identification of FIR Systems With Binary Input and Output Observations
DOI: 10.1109/TAC.2020.30424782021
Journal article
Stochastic Model Predictive Control Based Reference Planning for Automated Open-Water Channels
DOI: 10.1109/tcst.2019.29527882021
Journal article
A General Framework for Nonparametric Identification of Nonlinear Stochastic Systems
DOI: 10.1109/tac.2020.30075692020
Conference Proceedings
Towards Finite Sample Networked System Identification: A Cascade Network Example
DOI: 10.1109/CDC42340.2020.93043772016
Research Grant
Automatic control systems for low-energy pipelines in irrigation networks
2013
Research Grant
Improving the operation of large-scale irrigation networks through automation
2013
Research Grant
Certified evaluation of uncertainty in models of dynamical systems
RECENT SCHOLARLY WORKS
2020
Conference Proceedings
A Scenario Approach for Robust Optimization over Uncertain System Identification Models
DOI: 10.1109/CDC42340.2020.93039482020
Journal article
Non-asymptotic confidence regions for the parameters of EIV systems
DOI: 10.1016/j.automatica.2020.1088732020
Conference Proceedings
Towards Redundant Constraint Removal in Scenario Approximation of Optimal Control Problems with Multiplicative Model Uncertainty
DOI: 10.1109/CDC40024.2019.90296252020
Conference Proceedings
Confidence Regions for Parameters of Errors-In-Variables Systems Using Sign-Perturbed Sums
DOI: 10.1109/CDC40024.2019.90297332020
Conference Proceedings
Granger Causality of Gaussian Signals from Quantized Measurements
DOI: 10.1109/CDC40024.2019.90302552019
Journal article
A Scenario-Based Stochastic MPC Approach for Problems With Normal and Rare Operations With an Application to Rivers
DOI: 10.1109/TCST.2018.28114042018
Journal article
Efficient River Management using Stochastic MPC and Ensemble Forecast of Uncertain In-flows
DOI: 10.1016/j.ifacol.2018.06.1962018
Conference Proceedings
A general convergence result for kernel-based nonparametric identification of nonlinear stochastic systems
DOI: 10.1016/j.ifacol.2018.09.223