Grant: Engage Grants Program

In the animal kingdom, humans learn by acting on their environment, observing the consequence or effect oftheir acts, and learning to adjust their actions accordingly over time to improve the output generated by theiractions. They also learn to optimize their actions through reinforced learning. The ability of humans tooptimize their behavior in natural systems can be expanded to that in man-made engineered systems as well.There is a world-wide effort towards developing control systems that are inspired from human intellect. Thisresearch is a timely response to this global need.The focus of this research is to develop a learning-based human-analogous control method that can beincorporated into the Quansrer's production line.Quanser, an all-Canadian company located in Markham, Ontario is a world leader in the design andmanufacture of advanced mechatronics and control systems used in education, research and industry. Theirproducts are used by research and educational institutes worldwide. They provide unparalleled solutions toexpand the state of knowledge in critical research areas in the realm of mechatronics, unmanned systems, andcontrol. To maintain a healthy control engineering workflow in the relevant industry, development of scaledprototypes where different control strategies can be implemented, tested, and evaluated in a short time wouldplay a critical role.