State-Space Control Design
State-space control design methods, such as LQG/LQR and pole-placement algorithms, are useful for MIMO design.
Functions
Topics
Linear-Quadratic-Gaussian (LQG) Design
Linear-quadratic-Gaussian (LQG) control is a state-space technique that allows you to trade off regulation/tracker performance and control effort, and to take into account process disturbances and measurement noise.
LQG Regulation: Rolling Mill Case Study
Use linear-quadratic-Gaussian techniques to regulate the beam thickness in a steel rolling mill.
Design LQG Tracker Using Control System Designer
Design a feedback controller for a disk drive read/write head using LQG synthesis.
Design Yaw Damper for Jet Transport
This case study illustrates the classical design process.
Design an LQG regulator for a plant output in a system with noise.
Design an LQG Servo Controller
Design an LQG servo controller using a Kalman state estimator.
Design an LQR Servo Controller in Simulink
Design an LQR controller for a system modeled in Simulink®.
Closed-loop pole locations have a direct impact on time response characteristics such as rise time, settling time, and transient oscillations. Pole placement uses state-space techniques to assign closed-loop poles.
