The focus of the Automation, Robotics and Controle systems at College Ahuntsic is on creating and analyzing controllers for nonlinear dynamical systems. The lab operates under the belief that preserving the entire nonlinear dynamics model of a system in its design can enhance performance quality and facilitate the development of new control technologies. However, this approach poses significant challenges due to the lack of analytical solutions for nonlinear equations of motion and the imperfect nature of dynamics models. Modeling certain phenomena such as nonlinear friction, dynamics uncertainty, or unavailability of feedback signals can make the dynamics model incomplete. Despite these challenges, the lab is committed to developing effective strategies for designing and analyzing controllers for nonlinear dynamical systems..

To deal control design and analysis problems, the lab's research is concentrated on the design, development, and application of a Lyapunov control methodology, which integrates the whole nonlinear dynamic model of the system in the design and analysis without demanding the solution of the nonlinear equations of motion. Research studies are specifically focused on adaptive, robust, intelligent Control, and learning control designs for nonlinear systems to address issues related to uncertain nonlinear dynamics with limited or uncalibrated/corrupt sensor information.