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MEM 6301 Advanced Control Systems II 3.0 Credits

This course covers optimal and robust control using quadratic cost functions, stochastic noise models, and uncertainty modeling, and Riccati-based methods. Topics include linear quadratic regulator (LQR), observer design, stochastic processes and state response to white noise, Kalman filtering, linear quadratic Gaussian (LQG) control, closed-loop performance evaluation, and H-infinity control with associated numerical schemes.

College/Department: College of Engineering and Computing/Mechanical Engr Mechanics
Repeat Status: Not repeatable for credit
Prerequisites: MEM 5301 [Min Grade: C] or MEM 633 [Min Grade: C]