Biomedical Modeling, Estimation and Control

Catalog description

The introductory course provides the mathematical basis for modeling biomedical systems using state-space methods for analysis and design of biomedical systems with feedback loops. Mathematical tools will be developed to analyze and design biomedical systems expressed as coupled ordinary linear differential equations. State-space methods enable us to analyze and design multi- input/multi-output systems in time domain. The focus will be on the properties of state-space equations for stability analysis, estimator, and control design to be utilized for biomedical applications and brain-machine interfaces. The course will mostly concentrate on linear systems. This is a graduate class and knowledge of Probability theory, Signal processing ( ECE-UY 3054 : Signals and Systems or equivalent), linear algebra, and MATLAB are prerequisites. | Prerequisites: Graduate students; Adviser’s approval