Michael Fisher



       Department of Electrical and Computer Engineering
       University of Waterloo
       Office: EIT 3112
       Address: 200 University Av. W., Waterloo, ON N2L 5G7
       Email: michael.fisher@uwaterloo.ca
       Phone: +1 (519)-888-4567 x31216




I am an Assistant Professor in the department of Electrical and Computer Engineering at the University of Waterloo. A brief biography, my Curriculum Vitae and my profile on Google Scholar. I am always looking to hire students with strong mathematical skills and interest in systems and control.

Research Interests

My research interests are centered around dynamics, optimization, and control of complex, cyber-physical systems.

Recent topics of interest include:

  1. heterogeneous ensemble control
  2. optimal and distributed control
  3. nonlinear and nonsmooth stability analysis
  4. linear control to improve nonlinear robustness

Further details about my research and the Dynamics, Optimization, and Control of Complex Systems (DOCS) Group.

Recent News

  • 2022: The preprints for our papers on a new optimal control design method using Hardy space approximations are now available here and here.

  • 2022: Verena’s paper on control design for dynamic virtual power plants has been accepted for publication (available here).

  • 2022: Our paper on nonlinear stability analysis for generic vector fields has been published in SIAM Applied Dynamical Systems (available here).

Brief Biography

Michael W. Fisher joined the University of Waterloo in 2022, where he leads the Dynamics, Optimization, and Control of Complex Systems (DOCS) Group. Previously, he was a postdoctoral researcher with the Automatic Control Laboratory and the Power System Laboratory at ETH Zurich from 2020-2022. He received his Ph.D. in Electrical Engineering: Systems at the University of Michigan, Ann Arbor in 2020, and a M.Sc. in Mathematics from the same institution in 2017. He received his B.A. in Mathematics and Physics from Swarthmore College in 2014. He was a finalist for the 2017 Conference on Decision and Control (CDC) Best Student Paper Award and a recipient of the 2019 CDC Outstanding Student Paper Award.