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Address

02, 2.13, Electrical and Electronic Engineering, Parkville

Phone

+61 3 83449726

Email

ewey@unimelb.edu.au

Credentials


Position
Professor
Electrical and Electronic Engineering
Education
Doctor of Philosophy (Electrical Engineering)
Norwegian University of Science and Technology
Bachelor of Electrical Engineering (1st class Honours)
Norwegian University of Science and Technology
ORCID

0000-0003-4309-4337

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.2020.3042478
  • 2021

    Journal article

    Stochastic Model Predictive Control Based Reference Planning for Automated Open-Water Channels
    DOI: 10.1109/tcst.2019.2952788
  • 2021

    Journal article

    A General Framework for Nonparametric Identification of Nonlinear Stochastic Systems
    DOI: 10.1109/tac.2020.3007569
  • 2020

    Conference Proceedings

    Towards Finite Sample Networked System Identification: A Cascade Network Example
    DOI: 10.1109/CDC42340.2020.9304377
  • 2016

    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
Erik Weyer

Latest Honours,
Awards and Fellowships


2014
IEEE Control Systems Technology Award
2007
Knowledge Transfer Award The University of Melbourne
2006
Best Interactive Paper Award 45th IEEE Conference on Decision and Control (CDC'06)

RECENT SCHOLARLY WORKS

  • 2020

    Conference Proceedings

    A Scenario Approach for Robust Optimization over Uncertain System Identification Models
    DOI: 10.1109/CDC42340.2020.9303948
  • 2020

    Journal article

    Non-asymptotic confidence regions for the parameters of EIV systems
    DOI: 10.1016/j.automatica.2020.108873
  • 2020

    Conference Proceedings

    Towards Redundant Constraint Removal in Scenario Approximation of Optimal Control Problems with Multiplicative Model Uncertainty
    DOI: 10.1109/CDC40024.2019.9029625
  • 2020

    Conference Proceedings

    Confidence Regions for Parameters of Errors-In-Variables Systems Using Sign-Perturbed Sums
    DOI: 10.1109/CDC40024.2019.9029733
  • 2020

    Conference Proceedings

    Granger Causality of Gaussian Signals from Quantized Measurements
    DOI: 10.1109/CDC40024.2019.9030255
  • 2019

    Journal article

    A Scenario-Based Stochastic MPC Approach for Problems With Normal and Rare Operations With an Application to Rivers
    DOI: 10.1109/TCST.2018.2811404
  • 2018

    Journal article

    Efficient River Management using Stochastic MPC and Ensemble Forecast of Uncertain In-flows
    DOI: 10.1016/j.ifacol.2018.06.196
  • 2018

    Conference Proceedings

    A general convergence result for kernel-based nonparametric identification of nonlinear stochastic systems
    DOI: 10.1016/j.ifacol.2018.09.223

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