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H-infinity LQ gain (full state)
[K, X, err] = leqr(P12, Vx)
symmetric nonnegative matrix (should be small enough)
two real matrices
a real number (l1 norm of LHS of Riccati equation)
leqr computes the linear suboptimal H-infinity LQ full-state gain
for the plant
P12=[A,B2,C1,D12] in continuous or discrete time.
P12 is a
syslin list (e.g.
[C1' ] [Q S] [ ] * [C1 D12] = [ ] [D12'] [S' R]
Vx is related to the variance matrix of the noise
K is such that
A + B2*K is stable.
X is the stabilizing solution of the Riccati equation.
For a continuous plant:
For a discrete time plant:
The 3-blocks matrix pencils associated with these Riccati equations are:
discrete continuous |I -Vx 0| | A 0 B2| |I 0 0| | A Vx B2| z|0 A' 0| - |-Q I -S| s|0 I 0| - |-Q -A' -S | |0 B2' 0| | S' 0 R| |0 0 0| | S' -B2' R|
- lqr — LQ compensator (full state)
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