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Chapter 2  Mathematical Models of Systems

                           Therefore, solving Equation  (2.40) for I(s)  and substituting in Equation (2.41), we have
                                                              (1/CsMs)
                                                       VM  =
                                                              R  +  l/Cs  •
                           Then the transfer  function  is obtained  as the ratio V 2(s)/Vi (s),  which is
                                                _  Vi(s) _  1         1        1/r
                                           G(s)                                               (2 42)
                                                ~VLW~    RCS  + l  "  77TT  "  7TT/?            '
                           where  T =  i?C,  the  time  constant  of  the  network.  The  single  pole  of  G(s)  is
                           s  =  — 1/T.  Equation  (2.42) could  be immediately obtained  if one observes that the
                           circuit is a voltage divider, where

                                                     -=-^-  =     ^-^-                        (2 43^
                                                      v,(s)  z,{s)  + z ( y                   K  •  }
                                                                     2 s
                           and Z x(s)  = R,Z 2  =  l/Cs.
                               A  multiloop  electrical  circuit  or  an  analogous  multiple-mass  mechanical  sys-
                           tem results in a set  of simultaneous  equations in  the Laplace variable. It  is usually
                           more convenient  to solve the simultaneous equations  by using matrices and  deter-
                           minants  [1, 3,15]. An  introduction  to matrices  and  determinants  can  be  found  on
                           the MCS website.
                               Let us consider the long-term behavior  of a system and determine the response
                           to certain  inputs  that  remain  after  the  transients fade  away. Consider  the  dynamic
                           system represented  by the differential  equation
                                                                n l
                                        n l
                                                                            n 2
                              n
                             d y       d ~ y                   d ~ r       d ~ r              ^  AA^
                                                                         2
                                                                                              2 44
                                                                                - P^
                             -?  +  ^  1  ^  +  *"  +  ™  =  ^  1  ^  +  P "~ ^  + +         < ' )
                           where y(t)  is the response, and r(t) is the input or forcing function.  If the initial con-
                           ditions are all zero, then the transfer  function  is the coefficient  of R(s) in
                                                                       n 2
                                              P(s)  D ,  ,  p^s"- 1  +  p n- 2s -  +  •••  +  p 0
                                                         yn i
                                                       = ~ :
                             Y(s)  =  G(s)R(s)  =  ——R(s) )  =  ,   ^  1  ;  ,  ,  _  ™R(s).  (2.45)
                                              2%R( 5
                                               q(s)         s» + q^s"-   +  •••  + q 0
                               The  output  response  consists  of  a natural  response  (determined  by  the  initial
                           conditions) plus a forced  response determined  by the input. We  now have
                                                           q(s)   q(s)
                           where q(s)  =  0 is the characteristic equation. If the input has the rational  form
                                                                 n(s)
                                                                 d(s)
                           then
                                                                                              .
                                         y (s)  =  '^  E<fl^l     y l{s) +  y  M + Y3is)<   (2 46)
                                                     +
                                                 q(s)   q(s)  d(s)
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