| Control System Toolbox™ | ![]() |
Form linear-quadratic (LQ) state-feedback regulator with output weighting
[K,S,e] = lqry(sys,Q,R,N)
Given the plant
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or its discrete-time counterpart, lqry designs a state-feedback control
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that minimizes the quadratic cost function with output weighting
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(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.
See LQG Design for the x-Axis for an example.
The data
must satisfy the requirements for lqr or dlqr.
![]() | lqrd | lsim | ![]() |
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