Digital Control Strategies for Biomedical Applications

Catalog description

This course introduces the principles and applications of digital control systems in biomedical engineering. Students learn how to model, simulate, and design feedback controllers for physiological and electromechanical systems using MATLAB and Simulink. The curriculum bridges continuous and discrete-time control concepts, emphasizing stability, response optimization, and implementation in digital environments. Topics include sampling, discretization, state-space representation, and adaptive strategies for real-time control of medical and biotechnological systems. The course also explores emerging approaches using Agentic Artificial Intelligence (IA Agêntica) for autonomous and adaptive feedback in medical devices. Designed for graduate and advanced undergraduate students, it equips learners with practical skills for simulation, analysis, and innovation in intelligent biomedical technologies. Course requires: Basic understanding of linear systems, differential equations, and MATLAB is recommended. Familiarity with control concepts such as transfer functions and feedback stability will be helpful.