Modeling, analysis, and control of dynamic systems. System modeling: lumped parameter models of mechanical, electrical, and electromechanical systems; interconnection laws; actuators and sensors. Linear systems theory: linear algebra; Laplace transform; transfer functions, time response and frequency response, poles and zeros; block diagrams; solutions via analytical and numerical techniques; stability. Introduction to feedback control: closed-loop response; PID compensation; steady-state characteristics, root-locus design concepts, frequency-domain design concepts. Laboratory experiments and control design projects. In person not required. Enrollment may be limited due to laboratory capacity; preference to Course 2 majors and minors.
Fall 2020 Update: Optional In-Person Component - 2.004 has two components: a lecture+recitation component and a lab component. Lectures and recitations will be delivered remotely and lecture notes will be readily available after class, along with lecture recordings. Office hour will follow the lectures and will be meant for 1-1 student-instructors exchanges about lecture or homework. In addition to these, the instructors will have ad hoc office hour scheduled with each student as requested by the students. The Lab component has eight labs. All labs are designed to be done remotely with modeling/simulation software tools as well as with hardware kits for hands-on learning experience. Both on-campus and remote students will receive the same kits and perform the same experiments. On-campus students may have a choice of coming to the lab to work on the experiments, and they will work with remote students to promote teamwork.