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AA 203: Introduction to Optimal Control and Dynamic Optimization

Basic solution techniques for optimal control and dynamic optimization 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 and CVX.
Terms: Spr | Units: 3 | Grading: Letter or Credit/No Credit
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