Main Content

State-Space Control Design

LQG/LQR and pole-placement algorithms

State-space control design methods, such as LQG/LQR and pole-placement algorithms, are useful for MIMO design.

Functions

expand all

lqrLinear-Quadratic Regulator (LQR) design
lqryForm linear-quadratic (LQ) state-feedback regulator with output weighting
lqiLinear-Quadratic-Integral control
dlqrLinear-quadratic (LQ) state-feedback regulator for discrete-time state-space system
lqrdDesign discrete linear-quadratic (LQ) regulator for continuous plant
lqgLinear-Quadratic-Gaussian (LQG) design
lqgregForm linear-quadratic-Gaussian (LQG) regulator
lqgtrackForm Linear-Quadratic-Gaussian (LQG) servo controller
augstateAppend state vector to output vector
normNorm of linear model
estimForm state estimator given estimator gain
placePole placement design
regForm regulator given state-feedback and estimator gains

Topics