Purpose
To construct, for a given system G = (A,B,C,D), a feedback
matrix F and an orthogonal transformation matrix Z, such that
the systems
Q = (Z'*(A+B*F)*Z, Z'*B, (C+D*F)*Z, D)
and
R = (Z'*(A+B*F)*Z, Z'*B, F*Z, I)
provide a stable right coprime factorization of G in the form
-1
G = Q * R ,
where G, Q and R are the corresponding transfer-function matrices.
The resulting state dynamics matrix of the systems Q and R has
eigenvalues lying inside a given stability domain.
The Z matrix is not explicitly computed.
Note: If the given state-space representation is not stabilizable,
the unstabilizable part of the original system is automatically
deflated and the order of the systems Q and R is accordingly
reduced.
Specification
SUBROUTINE SB08FD( DICO, N, M, P, ALPHA, A, LDA, B, LDB, C, LDC,
$ D, LDD, NQ, NR, CR, LDCR, DR, LDDR, TOL, DWORK,
$ LDWORK, IWARN, INFO )
C .. Scalar Arguments ..
CHARACTER DICO
INTEGER INFO, IWARN, LDA, LDB, LDC, LDCR, LDD, LDDR,
$ LDWORK, M, N, NQ, NR, P
DOUBLE PRECISION TOL
C .. Array Arguments ..
DOUBLE PRECISION A(LDA,*), ALPHA(*), B(LDB,*), C(LDC,*),
$ CR(LDCR,*), D(LDD,*), DR(LDDR,*), DWORK(*)
Arguments
Mode Parameters
DICO CHARACTER*1
Specifies the type of the original system as follows:
= 'C': continuous-time system;
= 'D': discrete-time system.
Input/Output Parameters
N (input) INTEGER
The dimension of the state vector, i.e. the order of the
matrix A, and also the number of rows of the matrix B and
the number of columns of the matrices C and CR. N >= 0.
M (input) INTEGER
The dimension of input vector, i.e. the number of columns
of the matrices B, D and DR and the number of rows of the
matrices CR and DR. M >= 0.
P (input) INTEGER
The dimension of output vector, i.e. the number of rows
of the matrices C and D. P >= 0.
ALPHA (input) DOUBLE PRECISION array, dimension (2)
ALPHA(1) contains the desired stability degree to be
assigned for the eigenvalues of A+B*F, and ALPHA(2)
the stability margin. The eigenvalues outside the
ALPHA(2)-stability region will be assigned to have the
real parts equal to ALPHA(1) < 0 and unmodified
imaginary parts for a continuous-time system
(DICO = 'C'), or moduli equal to 0 <= ALPHA(2) < 1
for a discrete-time system (DICO = 'D').
A (input/output) DOUBLE PRECISION array, dimension (LDA,N)
On entry, the leading N-by-N part of this array must
contain the state dynamics matrix A.
On exit, the leading NQ-by-NQ part of this array contains
the leading NQ-by-NQ part of the matrix Z'*(A+B*F)*Z, the
state dynamics matrix of the numerator factor Q, in a
real Schur form. The trailing NR-by-NR part of this matrix
represents the state dynamics matrix of a minimal
realization of the denominator factor R.
LDA INTEGER
The leading dimension of array A. LDA >= MAX(1,N).
B (input/output) DOUBLE PRECISION array, dimension (LDB,M)
On entry, the leading N-by-M part of this array must
contain the input/state matrix.
On exit, the leading NQ-by-M part of this array contains
the leading NQ-by-M part of the matrix Z'*B, the
input/state matrix of the numerator factor Q. The last
NR rows of this matrix form the input/state matrix of
a minimal realization of the denominator factor R.
LDB INTEGER
The leading dimension of array B. LDB >= MAX(1,N).
C (input/output) DOUBLE PRECISION array, dimension (LDC,N)
On entry, the leading P-by-N part of this array must
contain the state/output matrix C.
On exit, the leading P-by-NQ part of this array contains
the leading P-by-NQ part of the matrix (C+D*F)*Z,
the state/output matrix of the numerator factor Q.
LDC INTEGER
The leading dimension of array C. LDC >= MAX(1,P).
D (input) DOUBLE PRECISION array, dimension (LDD,M)
The leading P-by-M part of this array must contain the
input/output matrix. D represents also the input/output
matrix of the numerator factor Q.
LDD INTEGER
The leading dimension of array D. LDD >= MAX(1,P).
NQ (output) INTEGER
The order of the resulting factors Q and R.
Generally, NQ = N - NS, where NS is the number of
uncontrollable eigenvalues outside the stability region.
NR (output) INTEGER
The order of the minimal realization of the factor R.
Generally, NR is the number of controllable eigenvalues
of A outside the stability region (the number of modified
eigenvalues).
CR (output) DOUBLE PRECISION array, dimension (LDCR,N)
The leading M-by-NQ part of this array contains the
leading M-by-NQ part of the feedback matrix F*Z, which
moves the eigenvalues of A lying outside the ALPHA-stable
region to values which are on the ALPHA-stability
boundary. The last NR columns of this matrix form the
state/output matrix of a minimal realization of the
denominator factor R.
LDCR INTEGER
The leading dimension of array CR. LDCR >= MAX(1,M).
DR (output) DOUBLE PRECISION array, dimension (LDDR,M)
The leading M-by-M part of this array contains an
identity matrix representing the input/output matrix
of the denominator factor R.
LDDR INTEGER
The leading dimension of array DR. LDDR >= MAX(1,M).
Tolerances
TOL DOUBLE PRECISION
The absolute tolerance level below which the elements of
B are considered zero (used for controllability tests).
If the user sets TOL <= 0, then an implicitly computed,
default tolerance, defined by TOLDEF = N*EPS*NORM(B),
is used instead, where EPS is the machine precision
(see LAPACK Library routine DLAMCH) and NORM(B) denotes
the 1-norm of B.
Workspace
DWORK DOUBLE PRECISION array, dimension (LDWORK)
On exit, if INFO = 0, DWORK(1) returns the optimal value
of LDWORK.
LDWORK INTEGER
The dimension of working array DWORK.
LWORK >= MAX( 1, N*(N+5), 5*M, 4*P ).
For optimum performance LDWORK should be larger.
Warning Indicator
IWARN INTEGER
= 0: no warning;
= K: K violations of the numerical stability condition
NORM(F) <= 10*NORM(A)/NORM(B) occured during the
assignment of eigenvalues.
Error Indicator
INFO INTEGER
= 0: successful exit;
< 0: if INFO = -i, the i-th argument had an illegal
value;
= 1: the reduction of A to a real Schur form failed;
= 2: a failure was detected during the ordering of the
real Schur form of A, or in the iterative process
for reordering the eigenvalues of Z'*(A + B*F)*Z
along the diagonal.
Method
The subroutine is based on the factorization algorithm of [1].References
[1] Varga A.
Coprime factors model reduction method based on
square-root balancing-free techniques.
System Analysis, Modelling and Simulation,
vol. 11, pp. 303-311, 1993.
Numerical Aspects
3 The algorithm requires no more than 14N floating point operations.Further Comments
NoneExample
Program Text
* SB08FD EXAMPLE PROGRAM TEXT
* Copyright (c) 2002-2017 NICONET e.V.
*
* .. Parameters ..
INTEGER NIN, NOUT
PARAMETER ( NIN = 5, NOUT = 6 )
INTEGER NMAX, MMAX, PMAX
PARAMETER ( NMAX = 20, MMAX = 20, PMAX = 20 )
INTEGER LDA, LDB, LDC, LDCR, LDD, LDDR
PARAMETER ( LDA = NMAX, LDB = NMAX, LDC = PMAX,
$ LDCR = MMAX, LDD = PMAX, LDDR = MMAX )
INTEGER LDWORK
PARAMETER ( LDWORK = MAX( NMAX*( NMAX + 5 ), 5*MMAX,
$ 4*PMAX ) )
* .. Local Scalars ..
DOUBLE PRECISION TOL
INTEGER I, INFO, IWARN, J, M, N, NQ, NR, P
CHARACTER*1 DICO
* .. Local Arrays ..
DOUBLE PRECISION A(LDA,NMAX), ALPHA(2), B(LDB,MMAX), C(LDC,NMAX),
$ CR(LDCR,NMAX), D(LDD,MMAX), DR(LDDR,MMAX),
$ DWORK(LDWORK)
* .. External Subroutines ..
EXTERNAL SB08FD
* .. Intrinsic Functions ..
INTRINSIC MAX
* .. Executable Statements ..
*
WRITE ( NOUT, FMT = 99999 )
* Skip the heading in the data file and read the data.
READ ( NIN, FMT = '()' )
READ ( NIN, FMT = * ) N, M, P, ALPHA(1), TOL, DICO
ALPHA(2) = ALPHA(1)
IF ( N.LT.0 .OR. N.GT.NMAX ) THEN
WRITE ( NOUT, FMT = 99990 ) N
ELSE
READ ( NIN, FMT = * ) ( ( A(I,J), J = 1, N ), I = 1, N )
IF ( M.LT.0 .OR. M.GT.MMAX ) THEN
WRITE ( NOUT, FMT = 99989 ) M
ELSE
READ ( NIN, FMT = * ) ( ( B(I,J), J = 1, M ), I = 1, N )
IF ( P.LT.0 .OR. P.GT.PMAX ) THEN
WRITE ( NOUT, FMT = 99988 ) P
ELSE
READ ( NIN, FMT = * ) ( ( C(I,J), J = 1, N ), I = 1, P )
READ ( NIN, FMT = * ) ( ( D(I,J), J = 1, M ), I = 1, P )
* Find a RCF for (A,B,C,D).
CALL SB08FD( DICO, N, M, P, ALPHA, A, LDA, B, LDB, C,
$ LDC, D, LDD, NQ, NR, CR, LDCR, DR, LDDR,
$ TOL, DWORK, LDWORK, IWARN, INFO )
*
IF ( INFO.NE.0 ) THEN
WRITE ( NOUT, FMT = 99998 ) INFO
ELSE
IF( NQ.GT.0 ) WRITE ( NOUT, FMT = 99996 )
DO 20 I = 1, NQ
WRITE ( NOUT, FMT = 99995 ) ( A(I,J), J = 1, NQ )
20 CONTINUE
IF( NQ.GT.0 ) WRITE ( NOUT, FMT = 99993 )
DO 40 I = 1, NQ
WRITE ( NOUT, FMT = 99995 ) ( B(I,J), J = 1, M )
40 CONTINUE
IF( NQ.GT.0 ) WRITE ( NOUT, FMT = 99992 )
DO 60 I = 1, P
WRITE ( NOUT, FMT = 99995 ) ( C(I,J), J = 1, NQ )
60 CONTINUE
WRITE ( NOUT, FMT = 99991 )
DO 70 I = 1, P
WRITE ( NOUT, FMT = 99995 ) ( D(I,J), J = 1, M )
70 CONTINUE
IF( NR.GT.0 ) WRITE ( NOUT, FMT = 99986 )
DO 80 I = NQ-NR+1, NQ
WRITE ( NOUT, FMT = 99995 )
$ ( A(I,J), J = NQ-NR+1, NQ )
80 CONTINUE
IF( NR.GT.0 ) WRITE ( NOUT, FMT = 99985 )
DO 90 I = NQ-NR+1, NQ
WRITE ( NOUT, FMT = 99995 ) ( B(I,J), J = 1, M )
90 CONTINUE
IF( NR.GT.0 ) WRITE ( NOUT, FMT = 99984 )
DO 100 I = 1, M
WRITE ( NOUT, FMT = 99995 )
$ ( CR(I,J), J = NQ-NR+1, NQ )
100 CONTINUE
WRITE ( NOUT, FMT = 99983 )
DO 110 I = 1, M
WRITE ( NOUT, FMT = 99995 ) ( DR(I,J), J = 1, M )
110 CONTINUE
END IF
END IF
END IF
END IF
STOP
*
99999 FORMAT (' SB08FD EXAMPLE PROGRAM RESULTS',/1X)
99998 FORMAT (' INFO on exit from SB08FD = ',I2)
99996 FORMAT (/' The numerator state dynamics matrix AQ is ')
99995 FORMAT (20(1X,F8.4))
99993 FORMAT (/' The numerator input/state matrix BQ is ')
99992 FORMAT (/' The numerator state/output matrix CQ is ')
99991 FORMAT (/' The numerator input/output matrix DQ is ')
99990 FORMAT (/' N is out of range.',/' N = ',I5)
99989 FORMAT (/' M is out of range.',/' M = ',I5)
99988 FORMAT (/' P is out of range.',/' P = ',I5)
99986 FORMAT (/' The denominator state dynamics matrix AR is ')
99985 FORMAT (/' The denominator input/state matrix BR is ')
99984 FORMAT (/' The denominator state/output matrix CR is ')
99983 FORMAT (/' The denominator input/output matrix DR is ')
END
Program Data
SB08FD EXAMPLE PROGRAM DATA (Continuous system) 7 2 3 -1.0 1.E-10 C -0.04165 0.0000 4.9200 0.4920 0.0000 0.0000 0.0000 -5.2100 -12.500 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 3.3300 -3.3300 0.0000 0.0000 0.0000 0.0000 0.5450 0.0000 0.0000 0.0000 0.0545 0.0000 0.0000 0.0000 0.0000 0.0000 -0.49200 0.004165 0.0000 4.9200 0.0000 0.0000 0.0000 0.0000 0.5210 -12.500 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 3.3300 -3.3300 0.0000 0.0000 12.500 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 12.500 0.0000 0.0000 1.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 1.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 1.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000Program Results
SB08FD EXAMPLE PROGRAM RESULTS The numerator state dynamics matrix AQ is -1.4178 -5.1682 3.2450 -0.2173 0.0564 -3.2129 -3.6183 0.9109 -1.4178 -2.1262 0.1231 0.0805 -0.4392 -0.2528 0.0000 0.0000 -13.1627 0.0608 -0.0218 2.3461 5.8272 0.0000 0.0000 0.0000 -3.5957 -3.3373 1.3622 -3.6083 0.0000 0.0000 0.0000 0.0000 -12.4245 -9.8634 8.1191 0.0000 0.0000 0.0000 0.0000 0.0000 -1.0000 -0.0135 0.0000 0.0000 0.0000 0.0000 0.0000 1.7393 -1.0000 The numerator input/state matrix BQ is 5.0302 -0.0063 0.7078 -0.0409 -11.3663 0.0051 0.1760 0.5879 -0.0265 12.2119 1.0104 1.3262 0.4474 -2.2388 The numerator state/output matrix CQ is -0.8659 0.2787 -0.3432 0.0020 0.0000 0.2026 0.1172 0.0797 -0.3951 0.0976 -0.0292 0.0062 0.7676 0.4879 -0.0165 -0.0645 0.0097 0.8032 -0.1602 0.3050 -0.4812 The numerator input/output matrix DQ is 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 The denominator state dynamics matrix AR is -1.0000 -0.0135 1.7393 -1.0000 The denominator input/state matrix BR is 1.0104 1.3262 0.4474 -2.2388 The denominator state/output matrix CR is -0.1091 -0.4653 -0.7055 0.4766 The denominator input/output matrix DR is 1.0000 0.0000 0.0000 1.0000