MIT Subject Listing & Schedule
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6.3102 Dynamical System Modeling and Control Design

(, )
(Subject meets with 6.3100)
Prereq: Physics II (GIR) and (18.06 or 18.C06)
Units: 4-4-4
Lecture: MW3 (2-190) Lab: F10-1 (38-545) or F2-5 (38-545)

A learn-by-design introduction to modeling and control of discrete- and continuous-time systems, from intuition-building analytical techniques to more computational and data-centric strategies. Topics include: linear difference/differential equations (natural frequencies, transfer functions); controller metrics (stability, tracking, disturbance rejection); analytical techniques (PID, root-loci, lead-lag, phase margin); computational strategies (state-space, eigen-placement, LQR); and data-centric approaches (state estimation, regression and identification). Concepts are introduced with lectures and on-line problems, and then mastered during weekly labs. In lab, students model, design, test and explain systems and controllers involving sensors, actuators, and a microcontroller (e.g. optimizing thrust-driven positioners or stabilizing magnetic levitators). Students in the graduate version complete additional problems and labs.
Fall: J. K. White
Spring: J. K. White
No textbook information available