Automation and Control II
This course covers static optimization, optimal control, adaptive control, and system identification, emphasizing C++ implementation for practical applications.
Static Optimization: Introduces calculus-based optimization techniques and numerical methods.
Optimal Control: Covers LQR (continuous & discrete), LQG, and H₂/H∞ robust control for stability and performance.
Adaptive Control & System Identification: Focuses on real-time system adjustments and model estimation from experimental data.
C++ Implementation: Students develop, simulate, and optimize control algorithms using C++, applying theoretical concepts to real-world scenarios.
By the end, students will design, analyze, and implement advanced control systems for automation, robotics, and dynamic applications.
G2: Critically evaluate robotic systems in comparison with state-of-the-art robotic research.
G3: Perform Multiphysics modeling and simulation for Mechatronics, Robotics, Control, and Embedded systems.