Professor Erik Weyer

  • Room: Level: 02 Room: 2.13
  • Building: Electrical and Electronic Engineering
  • Campus: Parkville

Research interests

  • Modelling and control of water resource systems
  • System identification

Personal webpage

https://people.eng.unimelb.edu.au/ewey/

Biography

Professor Erik Weyer is with the Department of Electrical and Electronic Engineering at The University of Melbourne. His research interests are in the areas of system identification and modelling and control of water resource systems.

Recent publications

  1. Zhao W, Weyer E. A general convergence result for kernel-based nonparametric identification of nonlinear stochastic systems⁎. IFAC-PapersOnLine. 2018, Vol. 51, Issue 15. DOI: 10.1016/j.ifacol.2018.09.223
  2. Nasir H, Care A, Weyer E. A Scenario-Based Stochastic MPC Approach for Problems With Normal and Rare Operations With an Application to Rivers. IEEE Transactions on Control Systems Technology. IEEE Control Systems Society. 2018. DOI: 10.1109/TCST.2018.2811404
  3. Nasir H, Zhao T, Care A, Wang QJ, Weyer E. Efficient River Management using Stochastic MPC and Ensemble Forecast of Uncertain In-flows. 1st IFAC Workshop on Integrated Assessment Modelling for Environmental Systems (IAMES). Elsevier Science. 2018, Vol. 51, Issue 5. DOI: 10.1016/j.ifacol.2018.06.196
  4. Khorasani MM, Weyer E. Non-Asymptotic Confidence Regions for Errors-In-Variables Systems. IFAC-PapersOnLine. 2018, Vol. 51, Issue 15. DOI: 10.1016/j.ifacol.2018.09.060
  5. Simmons L, Franke K, Tsouknidas C, Saez-Gallego J, Weyer E, GÓmez P. Power curve measurement uncertainty - Follow up comparative exercise for IEA Task 32. Journal of Physics: Conference Series. Institute of Physics Publishing. 2018, Vol. 1037, Issue 5. DOI: 10.1088/1742-6596/1037/5/052028
  6. Nasir H, Cantoni M, Weyer E. An efficient implementation of Stochastic MPC for open channel water-level planning. 2017 IEEE 56TH ANNUAL CONFERENCE ON DECISION AND CONTROL (CDC). Institute of Electrical and Electronics Engineers. 2017.
  7. Weyer E, Campi MC, Csaji BC. Asymptotic properties of SPS confidence regions. AUTOMATICA. Pergamon-Elsevier Science. 2017, Vol. 82. DOI: 10.1016/j.automatica.2017.04.041
  8. Cescon M, Weyer E. Control of Irrigation Channels Affected by Wind Stress. 2017 IEEE 56TH ANNUAL CONFERENCE ON DECISION AND CONTROL (CDC). Institute of Electrical and Electronics Engineers. 2017.
  9. Cescon M, Weyer E. Modeling and Identification of Irrigation Channel Dynamics Affected by Wind. 20th World Congress of the International-Federation-of-Automatic-Control (IFAC). Elsevier Science. 2017, Vol. 50, Issue 1. DOI: 10.1016/j.ifacol.2017.08.1071
  10. Care A, Campi MC, Csaji BC, Weyer E. Undermodelling Detection with Sign-Perturbed Sums. 20th World Congress of the International-Federation-of-Automatic-Control (IFAC). Elsevier Science. 2017, Vol. 50, Issue 1. DOI: 10.1016/j.ifacol.2017.08.581
  11. Nasir H, Care A, Weyer E. A Randomised Approach to Multiple Chance-Constrained Problems: An Application to Flood Avoidance. 2016 IEEE 55TH CONFERENCE ON DECISION AND CONTROL (CDC). Institute of Electrical and Electronics Engineers. 2016. DOI: 10.1109/CDC.2016.7799225
  12. Cescon M, Weyer E. Characterization of the wind impact on the Torrumbarry irrigation district and its implications for control. 2016 AUSTRALIAN CONTROL CONFERENCE (AUCC). IEEE. 2016.
  13. Nasir H, Care A, Weyer E. Control of Rivers with Flood Avoidance. 2016 AUSTRALIAN CONTROL CONFERENCE (AUCC). IEEE. 2016. DOI: 10.1109/AUCC.2016.7868018
  14. Leong AS, Weyer E, Nair G. On the Identification of FIR Systems with Binary Input and Output Observations. 2016 IEEE 55TH CONFERENCE ON DECISION AND CONTROL (CDC). Institute of Electrical and Electronics Engineers. 2016. DOI: 10.1109/CDC.2016.7798706
  15. Lian Y, Luo Z, Weyer E, Nair G. Parameter Estimation with Binary Observations of Input and Output Signals. 2016 AUSTRALIAN CONTROL CONFERENCE (AUCC). IEEE. 2016. DOI: 10.1109/AUCC.2016.7868193

View a full list of publications on the University of Melbourne’s ‘Find An Expert’ profile