SB10VD - SLICOT Library Routine Documentation

## SB10VD

### State feedback and output injection matrices for an H2 optimal state controller (continuous-time)

[Specification] [Arguments] [Method] [References] [Comments] [Example]

Purpose

      To compute the state feedback and the output injection
      matrices for an H2 optimal n-state controller for the system

                    | A  | B1  B2  |   | A | B |
                P = |----|---------| = |---|---|
                    | C1 |  0  D12 |   | C | D |
                    | C2 | D21 D22 |

      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 SB10UD. Matrix D is not used
           explicitly.

Specification

          SUBROUTINE SB10VD( N, M, NP, NCON, NMEAS, A, LDA, B, LDB, C, LDC,
         $                   F, LDF, H, LDH, X, LDX, Y, LDY, XYCOND, IWORK,
         $                   DWORK, LDWORK, BWORK, INFO )
    C     .. Scalar Arguments ..
          INTEGER            INFO, LDA, LDB, LDC, LDF, LDH, LDWORK, LDX,
         $                   LDY, M, N, NCON, NMEAS, NP
    C     .. Array Arguments ..
          LOGICAL            BWORK( * )
          INTEGER            IWORK( * )
          DOUBLE PRECISION   A( LDA, * ), B( LDB, * ), C( LDC, * ),
         $                   DWORK( * ),  F( LDF, * ), H( LDH, * ),
         $                   X( LDX, * ), XYCOND( 2 ), Y( LDY, * )

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).

      F       (output) DOUBLE PRECISION array, dimension (LDF,N)
              The leading NCON-by-N part of this array contains the
              state feedback matrix F.

      LDF     INTEGER
              The leading dimension of the array F.  LDF >= max(1,NCON).

      H       (output) DOUBLE PRECISION array, dimension (LDH,NMEAS)
              The leading N-by-NMEAS part of this array contains the
              output injection matrix H.

      LDH     INTEGER
              The leading dimension of the array H.  LDH >= max(1,N).

      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).

      XYCOND  (output) DOUBLE PRECISION array, dimension (2)
              XYCOND(1) contains an estimate of the reciprocal condition
                        number of the X-Riccati equation;
              XYCOND(2) contains an estimate of the reciprocal condition
                        number of the Y-Riccati equation.

Workspace

      IWORK   INTEGER array, dimension (max(2*N,N*N))

      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 >= 13*N*N + 12*N + 5.
              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 Y-Riccati equation was not solved
                    successfully.

Method

      The routine implements the formulas given in [1], [2]. The X-
      and Y-Riccati equations are solved with condition and accuracy
      estimates [3].

References

      [1] Zhou, K., Doyle, J.C., and Glover, K.
          Robust and Optimal Control.
          Prentice-Hall, Upper Saddle River, NJ, 1996.

      [2] Balas, G.J., Doyle, J.C., Glover, K., Packard, A., and
          Smith, R.
          mu-Analysis and Synthesis Toolbox.
          The MathWorks Inc., Natick, Mass., 1995.

      [3] Petkov, P.Hr., Konstantinov, M.M., and Mehrmann, V.
          DGRSVX and DMSRIC: Fortan 77 subroutines for solving
          continuous-time matrix algebraic Riccati equations with
          condition and accuracy estimates.
          Preprint SFB393/98-16, Fak. f. Mathematik, Tech. Univ.
          Chemnitz, May 1998.

Numerical Aspects

      The precision of the solution of the matrix Riccati equations
      can be controlled by the values of the condition numbers
      XYCOND(1) and XYCOND(2) of these equations.

Further Comments

      The Riccati equations are solved by the Schur approach
      implementing condition and accuracy estimates.

Example

Program Text

      None

Program Data

      None

Program Results

      None

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