Function Reference

lqry

Linear-quadratic (LQ) state-feedback regulator with output weighting

Syntax

• [K,S,e] = lqry(sys,Q,R)
  [K,S,e] = lqry(sys,Q,R,N)
  

Description

Given the plant

or its discrete-time counterpart, lqry designs a state-feedback control

that minimizes the quadratic cost function with output weighting

(or its discrete-time counterpart). The function lqry is equivalent to lqr or dlqr with weighting matrices:

[K,S,e] = lqry(sys,Q,R,N) returns the optimal gain matrix K, the Riccati solution S, and the closed-loop eigenvalues e = eig(A-B*K). The state-space model sys specifies the continuous- or discrete-time plant data . The default value N=0 is assumed when N is omitted.

Example

See LQG Design for the x-Axis for an example.

Limitations

The data must satisfy the requirements for lqr or dlqr.

See Also
lqr         State-feedback LQ regulator for continuous plant

dlqr        State-feedback LQ regulator for discrete plant

kalman      Kalman estimator design

lqgreg      Form LQG regulator

lqrd

lsim