Analytical descriptions of state-determined dynamic physical systems; time and frequency domain representations; system characteristics - controllability, observability, stability; linear and nonlinear system responses. Modification of system characteristics using feedback. State observers, Kalman filters. Modeling/performance trade-offs in control system design. Basic optimization tools. Positive systems. Emphasizes applications to physical systems.
Fall 2020 Update: Fully Remote Classes - This Fall 2020 I will return to teaching 2.151 after an absence of 4 years. Prior to that I taught the subject frequently and I’m looking forward to getting back to a topic I really enjoy. The class will be taught online only. I confess I’m a little nervous about that; I usually rely on reading the room as I teach, and it’s not clear how to do that via zoom. I plan 80 minute sessions (from 5 minutes past the hour to 5 minutes before the half - standard MIT procedure) but I’ll try to break the sessions up with at least some change from a talking head droning on monotonously. As in the past, most of your actual learning will occur in the homework assignments. I’ll make heavy use of MATLAB but largely using ‘canned’ commands; you won’t have to write complex scripts (unless you want to). My main emphasis (as in the past) will be on developing physical insight about the meaning of the mathematics.