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Справка Scilab >> CACSD > Matrix Computation > ricc

ricc

Riccati equation

Syntax

[X,RCOND,FERR]=ricc(A,B,C,"cont""method")
[X,RCOND,FERR]=ricc(F,G,H,"disc","method")

Arguments

A,B,C

real matrices of appropriate dimensions

F,G,H

real matrices of appropriate dimensions

X

real matrix

"cont","disc"'

imposed string (flag for continuous or discrete)

method

'schr' or 'sign' for continuous-time systems and 'schr' or 'invf' for discrete-tyme systems

Description

Riccati solver.

Continuous time:

X=ricc(A,B,C,'cont')

gives a solution to the continuous time ARE

A'*X+X*A-X*B*X+C=0 .

B and C are assumed to be nonnegative definite. (A,G) is assumed to be stabilizable with G*G' a full rank factorization of B.

(A,H) is assumed to be detectable with H*H' a full rank factorization of C.

Discrete time:

X=ricc(F,G,H,'disc')

gives a solution to the discrete time ARE

X=F'*X*F-F'*X*G1*((G2+G1'*X*G1)^-1)*G1'*X*F+H

F is assumed invertible and G = G1*inv(G2)*G1'.

One assumes (F,G1) stabilizable and (C,F) detectable with C'*C full rank factorization of H. Use preferably ric_desc.

C, D are symmetric .It is assumed that the matrices A, C and D are such that the corresponding matrix pencil has N eigenvalues with moduli less than one.

Error bound on the solution and a condition estimate are also provided. It is assumed that the matrices A, C and D are such that the corresponding Hamiltonian matrix has N eigenvalues with negative real parts.

Examples

//Standard formulas to compute Riccati solutions
A=rand(3,3);
B=rand(3,2);
C=rand(3,3);
C=C*C';
R=rand(2,2);
R=R*R'+eye();
B=B*inv(R)*B';
X=ricc(A,B,C,'cont');
norm(A'*X+X*A-X*B*X+C,1)
H=[A -B;-C -A'];
[T,d]=schur(eye(H),H,'cont');
T=T(:,1:d);
X1=T(4:6,:)/T(1:3,:);
norm(X1-X,1)
[T,d]=schur(H,'cont');
T=T(:,1:d);
X2=T(4:6,:)/T(1:3,:);
norm(X2-X,1)
//       Discrete time case
F=A;
B=rand(3,2);
G1=B;
G2=R;
G=G1/G2*G1';
H=C;
X=ricc(F,G,H,'disc');
norm(F'*X*F-(F'*X*G1/(G2+G1'*X*G1))*(G1'*X*F)+H-X)
H1=[eye(3,3) G;zeros(3,3) F'];
H2=[F zeros(3,3);-H eye(3,3)];
[T,d]=schur(H2,H1,'disc');
T=T(:,1:d);
X1=T(4:6,:)/T(1:3,:);
norm(X1-X,1)
Fi=inv(F);
Hami=[Fi Fi*G;H*Fi F'+H*Fi*G];
[T,d]=schur(Hami,'d');
T=T(:,1:d);
Fit=inv(F');
Ham=[F+G*Fit*H -G*Fit;-Fit*H Fit];
[T,d]=schur(Ham,'d');
T=T(:,1:d);
X2=T(4:6,:)/T(1:3,:);
norm(X2-X,1)

See also

  • riccati — Riccati equation
  • ric_desc — Riccati equation
  • schur — [ordered] Schur decomposition of matrix and pencils

Used Functions

See SCI/modules/cacsd/src/slicot/riccpack.f

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Last updated:
Tue Feb 14 15:13:23 CET 2017