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The role of the tutorials is to provide a platform for a more intensive scientific exchange amongst researchers interested in a particular topic and as a meeting point for the community. Tutorials complement the depth-oriented technical sessions by providing participants with broad overviews of emerging fields. A tutorial can be scheduled for 1.5 or 3 hours.

Tutorial proposals are accepted until:

June 7, 2022

If you wish to propose a new Tutorial please kindly fill out and submit this Expression of Interest form.


Tutorial on
New Graphical Tools for Feedback Controllers Design


David Bensoussan
École de Technologie Supérieure - Université du Québec
Brief Bio
David Bensoussan (S’80-M’81-SM’83) was born in Mogador, Morocco, November 14, 1947. He received his B.Sc. degree in electrical engineering from the Technion – Israel Institute of Technology, Haifa, Israel, in 1970 and M.Sc. and Ph.D. degrees from McGill University, Montréal, P.Q., Canada, in 1978 and 1982, respectively. He has been a professor in the Department of Electrical Engineering at the École de technologie supérieure, University of Québec since 1980. He has published extensively in the field of control, telecommunications and energy and has filed a large number of patents. He is the author of a series of technical books in control and communications published by Bordas-Dunod-Gauthier Villars, France, Academic Press, Presses Internationales Polytechnique and Presses de l’Université du Québec.
The following persons also contributed to the work:
Amine Houimdi is a Ph.D. Candidate in the Electrical Engineering Department of ETS Montreal. He has more than five years of experience in the automation specialized industries and holds a MscA from ETS of Montreal
Darren Loo is a MscA Candidate in the Electrical Engineering Department of ETS Montreal. He holds a Bachelor's Degree in Engineering Sciences and was contestant in the Robocup 2019 French's team for the Small Size League in division B.

New results allowing fast and robust control (1) have recently been extended to the multivariable case. They have been applied with success to a levitation system and to the control of drones. These results can be easily implemented though a graphical geometric method allowing the design and the optimization of feedback controllers.  The simplicity of use circumvents the sophisticated analytical methods while keeping excellent performance both in the time domain and the frequency domain. They can also be applied to improve L1 adaptive control method.

(1). Bensoussan David, Robust and Ultrafast Response Compensator for Unstable Invertible Plants, Automatica, Volume 60, October 2015 pp. 43-47, 2015 ( ).


Simultaneous time/frequency responses design. Adaptive Control. Quasi Linear control.

Aims and Learning Objectives

Easy tuning of compensators to get optimal time/frequency responses
Easy tuning of he L1 Adaptive control filters o minimize the effect of internal and external disturbances.

Target Audience

Engineers involved (or intending to get involved) in Adaptive Control

Prerequisite Knowledge of Audience

Electrical engineering degree and basic knowledge in Adaptive Control.

Detailed Outline

Review of Performance criteria
The Geogebra software
Tuning of optimal compensators for LTI plants
L1 Adaptive Control
Tuning the L1 adaptive control filter

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