Purpose
To compute the matrices of the H2 optimal controller | AK | BK | K = |----|----|, | CK | DK | for the normalized discrete-time system | A | B1 B2 | | A | B | P = |----|---------| = |---|---| | C1 | D11 D12 | | C | D | | C2 | D21 0 | where B2 has as column size the number of control inputs (NCON) and C2 has as row size the number of measurements (NMEAS) being provided to the controller. It is assumed that (A1) (A,B2) is stabilizable and (C2,A) is detectable, (A2) D12 is full column rank with D12 = | 0 | and D21 is | I | full row rank with D21 = | 0 I | as obtained by the SLICOT Library routine SB10PD, j*Theta (A3) | A-e *I B2 | has full column rank for all | C1 D12 | 0 <= Theta < 2*Pi , j*Theta (A4) | A-e *I B1 | has full row rank for all | C2 D21 | 0 <= Theta < 2*Pi .Specification
SUBROUTINE SB10SD( N, M, NP, NCON, NMEAS, A, LDA, B, LDB, C, LDC, $ D, LDD, AK, LDAK, BK, LDBK, CK, LDCK, DK, LDDK, $ X, LDX, Y, LDY, RCOND, TOL, IWORK, DWORK, $ LDWORK, BWORK, INFO ) C .. Scalar Arguments .. INTEGER INFO, LDA, LDAK, LDB, LDBK, LDC, LDCK, LDD, $ LDDK, LDWORK, LDX, LDY, M, N, NCON, NMEAS, NP DOUBLE PRECISION TOL C .. Array Arguments .. INTEGER IWORK( * ) DOUBLE PRECISION A( LDA, * ), AK( LDAK, * ), B( LDB, * ), $ BK( LDBK, * ), C( LDC, * ), CK( LDCK, * ), $ D( LDD, * ), DK( LDDK, * ), DWORK( * ), $ RCOND( * ), X( LDX, * ), Y( LDY, * ) LOGICAL BWORK( * )Arguments
Input/Output Parameters
N (input) INTEGER The order of the system. N >= 0. M (input) INTEGER The column size of the matrix B. M >= 0. NP (input) INTEGER The row size of the matrix C. NP >= 0. NCON (input) INTEGER The number of control inputs (M2). M >= NCON >= 0, NP-NMEAS >= NCON. NMEAS (input) INTEGER The number of measurements (NP2). NP >= NMEAS >= 0, M-NCON >= NMEAS. A (input) DOUBLE PRECISION array, dimension (LDA,N) The leading N-by-N part of this array must contain the system state matrix A. LDA INTEGER The leading dimension of the array A. LDA >= max(1,N). B (input) DOUBLE PRECISION array, dimension (LDB,M) The leading N-by-M part of this array must contain the system input matrix B. LDB INTEGER The leading dimension of the array B. LDB >= max(1,N). C (input) DOUBLE PRECISION array, dimension (LDC,N) The leading NP-by-N part of this array must contain the system output matrix C. LDC INTEGER The leading dimension of the array C. LDC >= max(1,NP). D (input) DOUBLE PRECISION array, dimension (LDD,M) The leading NP-by-M part of this array must contain the system input/output matrix D. Only the leading (NP-NP2)-by-(M-M2) submatrix D11 is used. LDD INTEGER The leading dimension of the array D. LDD >= max(1,NP). AK (output) DOUBLE PRECISION array, dimension (LDAK,N) The leading N-by-N part of this array contains the controller state matrix AK. LDAK INTEGER The leading dimension of the array AK. LDAK >= max(1,N). BK (output) DOUBLE PRECISION array, dimension (LDBK,NMEAS) The leading N-by-NMEAS part of this array contains the controller input matrix BK. LDBK INTEGER The leading dimension of the array BK. LDBK >= max(1,N). CK (output) DOUBLE PRECISION array, dimension (LDCK,N) The leading NCON-by-N part of this array contains the controller output matrix CK. LDCK INTEGER The leading dimension of the array CK. LDCK >= max(1,NCON). DK (output) DOUBLE PRECISION array, dimension (LDDK,NMEAS) The leading NCON-by-NMEAS part of this array contains the controller input/output matrix DK. LDDK INTEGER The leading dimension of the array DK. LDDK >= max(1,NCON). X (output) DOUBLE PRECISION array, dimension (LDX,N) The leading N-by-N part of this array contains the matrix X, solution of the X-Riccati equation. LDX INTEGER The leading dimension of the array X. LDX >= max(1,N). Y (output) DOUBLE PRECISION array, dimension (LDY,N) The leading N-by-N part of this array contains the matrix Y, solution of the Y-Riccati equation. LDY INTEGER The leading dimension of the array Y. LDY >= max(1,N). RCOND (output) DOUBLE PRECISION array, dimension (4) RCOND contains estimates of the reciprocal condition numbers of the matrices which are to be inverted and the reciprocal condition numbers of the Riccati equations which have to be solved during the computation of the controller. (See the description of the algorithm in [2].) RCOND(1) contains the reciprocal condition number of the matrix Im2 + B2'*X2*B2; RCOND(2) contains the reciprocal condition number of the matrix Ip2 + C2*Y2*C2'; RCOND(3) contains the reciprocal condition number of the X-Riccati equation; RCOND(4) contains the reciprocal condition number of the Y-Riccati equation.Tolerances
TOL DOUBLE PRECISION Tolerance used in determining the nonsingularity of the matrices which must be inverted. If TOL <= 0, then a default value equal to sqrt(EPS) is used, where EPS is the relative machine precision.Workspace
IWORK INTEGER array, dimension (max(M2,2*N,N*N,NP2)) DWORK DOUBLE PRECISION array, dimension (LDWORK) On exit, if INFO = 0, DWORK(1) contains the optimal LDWORK. LDWORK INTEGER The dimension of the array DWORK. LDWORK >= max(1, 14*N*N+6*N+max(14*N+23,16*N), M2*(N+M2+max(3,M1)), NP2*(N+NP2+3)), where M1 = M - M2. For good performance, LDWORK must generally be larger. BWORK LOGICAL array, dimension (2*N)Error Indicator
INFO INTEGER = 0: successful exit; < 0: if INFO = -i, the i-th argument had an illegal value; = 1: if the X-Riccati equation was not solved successfully; = 2: if the matrix Im2 + B2'*X2*B2 is not positive definite, or it is numerically singular (with respect to the tolerance TOL); = 3: if the Y-Riccati equation was not solved successfully; = 4: if the matrix Ip2 + C2*Y2*C2' is not positive definite, or it is numerically singular (with respect to the tolerance TOL).Method
The routine implements the formulas given in [1]. The X- and Y-Riccati equations are solved with condition estimates.References
[1] Zhou, K., Doyle, J.C., and Glover, K. Robust and Optimal Control. Prentice-Hall, Upper Saddle River, NJ, 1996. [2] Petkov, P.Hr., Gu, D.W., and Konstantinov, M.M. Fortran 77 routines for Hinf and H2 design of linear discrete-time control systems. Report 99-8, Department of Engineering, Leicester University, April 1999.Numerical Aspects
The accuracy of the result depends on the condition numbers of the matrices which are to be inverted and on the condition numbers of the matrix Riccati equations which are to be solved in the computation of the controller. (The corresponding reciprocal condition numbers are given in the output array RCOND.)Further Comments
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