Optimal & Robust Control
This course explores optimal and robust control techniques for system stability and performance enhancement.
Optimal Control: Covers LQR, LQG, Kalman filters, loop transfer recovery, and H₂ optimal control for efficient state feedback and estimation.
Robust Control: Focuses on H-infinity control, small-gain theorem, uncertainty modeling (LFT), and Riccati-based H∞ synthesis to ensure system stability under uncertainties.
Students develop expertise in designing optimal and robust controllers, equipping them for advanced control applications in engineering systems.
G1: Translate mechatronics systems and robots into mathematical models and simulations.
G3: Perform Multiphysics modeling and simulation for Mechatronics, Robotics, Control, and Embedded systems.
G4: Develop, test, and integrate robotics hardware and software into fully functional systems.
G5: Design, develop, and interface Embedded Systems, ensuring efficient coding and integration.