Page 384 - Schaum's Outline of Theory and Problems of Signals and Systems
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CHAP.  71                       STATE SPACE ANALYSIS



           7.5  SOLUTIONS OF STATE EQUATIONS FOR DISCRETE-TIME LTI SYSTEMS
           A.  Solution in  the Time Domain:

                 Consider an  N-dimensional state representation
                                            q[n + 1] = Aq[n] + bx[n]                         (7.22a)

                                               Y [n] = cq[n] + &[n]                         (7.226)
             where  A,  b,  c,  and  d  are  N x N,  Nx 1, 1 x N,  and  1 X  1 matrices,  respectively.  One
             method of finding q[n], given the initial state q[O],  is to solve Eq. (7.22a) iteratively. Thus,
                                 q[l] = Aq[OJ + bx[O]
                                 q[2] = Aq[l] + bx[l] = A{~q[0] + bx[O] ] + bx[l]
                                              +
                                     = A~~[O] Abx[O] + bx[l]
             By  continuing this process, we  obtain







             If the  initial state is q[n,]  and  x[n] is defined for  n  2 no, then, proceeding  in  a similar
             manner, we  obtain




                 The matrix An is the n-fold product



                                                          n
             and  is  known  as  the  state-transition  matrix  of  the  discrete-time  system.  Substituting
             Eq. (7.23) into Eq. (7.2231, we obtain
                                              n-  I
                             y[n] =cAnq[O] +      CA"-'-~  bx[k] +&[n]         n>O            (7.25)
                                              k =O
             The first term cAnq[O] is the zero-input  response, and the second and third terms together
             form the zero-state response.


           B.  Determination  of  An:
           Method 1:  Let A be an  N X N matrix. The characteristic equation of  A is defined to be (App. A)



                      where  JAI - Al  means  the  determinant  of  Al  -A  and  I  is  the  identiry  matrix  (or  unit
                      matrir) of  Nth  order.  The  roots  of  c(A) = 0, A,  (k = 1,2,. . . , N),  are  known  as  the
                     eigenualues  of  A.  By  the Cayley-Hamilton theorem  An  can be  expressed as [App. A, Eq.
                      (AS7)I


                     When  the eigenvalues A,  are all  distinct, the coefficients  b,, b,, . . . , 6,- , can be found
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