Professor

Contact InformationDaniel Miller

Phone: 519-888-4567 x35215
Location: EIT 3116

Biography Summary

Daniel Miller is a Professor in the Department of Electrical and Computer Engineering at the University of Waterloo.

His research interests lie in the areas of adaptive control, decentralized control, and control with delays. His research is funded by the Natural Sciences and Engineering Research Council of Canada. His work has appeared in such journals as the IEEE Transactions of Automatic Control and the Mathematics of Control, Signals and Systems. He has recently co-authored a book on decentralized control.

Research Interests

  • Adaptive Control
  • Decentralized Control
  • Control with Delays

Education

  • 1990, Doctorate, Electrical Engineering, University of Toronto
  • 1986, Master of Applied Science, Electrical Engineering, University of Toronto
  • 1984, Bachelor of Science (BSc), Electrical Engineering, University of New Brunswick

Courses*

  • ECE 484 - Digital Control Applications
    • Taught in 2015
  • ECE 390 - Engineering Design, Economics, and Impact on Society
    • Taught in 2016, 2018
  • ECE 481 - Digital Control Systems
    • Taught in 2015, 2017
  • ECE 781 - Adaptive Control
    • Taught in 2017
  • ECE 380 - Analog Control Systems
    • Taught in 2017, 2018
  • BME 356 - Control Systems
    • Taught in 2019
  • ECE 682 - Multivariable Control Systems
    • Taught in 2015, 2019
* Only courses taught in the past 5 years are displayed.

Selected/Recent Publications

  • D.E. Miller and M.T. Shahab, Adaptive Tracking With Exponential Stability and Convolution Bounds Using Vigilant Estimation, Mathematics of Control, Signals and Systems, 2020
  • E.J. Davison, A. Aghdam, and D.E. Miller, Decentralized Control of Large Scale Systems, Springer Verlag, New York, 2020
  • J.D. Simard, C. Nielsen, and D.E. Miller, Periodic Adaptive Stabilization of Rapidly Time-varying Linear Systems, Mathematics of Control, Signals, and Systems, 2019, 31(2), 1 - 42
  • D.E. Miller and M.T. Shahab, Classical Pole Placement Adaptive Control Revisited: Linear-like Convolution Bounds and Exponential Stability, Mathematics of Control, Signals, and Systems, 2018, 30(4)
  • T. Ranganathan and D.E. Miller, Near Optimal H-infinity Performance in the Decentralized Setting, Mathematics of Control, Signals, and Systems, 2018, 30(2)