Nonlinear and Adaptive Control
This course covers nonlinear and adaptive control systems, focusing on analysis, stability, and controller design.
Nonlinear Control: Includes system linearization, phase-plane analysis, and Lyapunov stability.
Adaptive Control: Covers real-time parameter estimation, self-tuning regulators, and model reference control.
Stability & Implementation: Explores adaptive observers, gain scheduling, and stability of adaptive systems.
Students develop skills in designing and analyzing nonlinear and adaptive controllers for dynamic systems and automation.
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.