Integrated and reconfigurable systems for analysis and control: automotive and physiological applications

This research focuses on the design and analysis of a dual-control architecture framework that employs both open-loop and closed-loop control schemes. Distinct applications, such as i) rehabilitation monitoring in clinical settings, 6+ii) EVs, where dynamic control optimizes system performance and improves maneuverability and safety based on external conditions, and iii) soft robotics, making these robots swim more efficiently (much like real fish do in water) and adapt to changing during operating conditions such periodic disturbances or the variation of the water flow rates, are covered.