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Learn multivariable control systems
·
Module 7
Optimal Control with LQR
1
Infinite-Horizon LQR for Optimal State Feedback
Formulate the infinite-horizon Linear Quadratic Regulator (LQR) problem for optimal state feedback.
2
Tuning LQR Weighting Matrices (Q and R)
Select weighting matrices (Q and R) in the LQR cost function to balance state regulation and control effort.
3
Solving the Algebraic Riccati Equation for LQR
Solve the algebraic Riccati equation to find the optimal LQR state feedback gain.
4
LQR Time-Domain Simulation and Performance Analysis
Simulate the time-domain response of an LQR-controlled system and analyze the performance trade-offs.
5
LQR vs. Pole Placement: A Comparative Analysis
Compare the design process and performance of LQR control with the pole placement method.
Previous module
Implementing Observer-Based Control
Next module
Reference Tracking and Disturbance Rejection