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1 - 1 of 1 results for: AA 203: Introduction to Optimal Control and Dynamic Optimization

AA 203: Introduction to Optimal Control Theory

Basic solution techniques for optimal control problems. Dynamic programming, calculus of variations, and numerical techniques for trajectory optimization. Special cases (chiefly LQR and robotic motion planning); modern solution approaches (such as MPC and MILP); and introduction to stochastic optimal control. Examples in MATLAB. Prerequisites: Linear algebra ( EE 263 or equivalent).
Terms: Spr | Units: 3 | Grading: Letter or Credit/No Credit
Instructors: Pavone, M. (PI)
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