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168              Chapter 3  State Variable Models

                             which converges for all finite t and any A  [2]. Then the solution  of the state  differential
                             equation is found to be


                                                                /
                                           x(t)  =  exp(A0x(0)  +  f  exp[A(f  -  T)]BU(T)  dr.  (3.24)
                                                               Jo
                             Equation  (3.24) may be verified  by taking the Laplace transform  of Equation  (3.16)
                             and rearranging to obtain

                                                            _1
                                              X(s)  =  [si  -  A] x(0)  +  [si -  ApBTJ(s),     (3.25)
                                                      -1
                             where we note that  [si —  A]  -  <J>(s)  is the Laplace transform  of (0  =  exp(Af).
                                                                                       ¢
                             Taking the inverse Laplace transform  of Equation  (3.25) and noting that the second
                             term  on  the  right-hand  side  involves  the  product  ¢(^)611(^),  we  obtain  Equation
                             (3.24). The  matrix  exponential  function  describes the  unforced  response  of the sys-
                             tem  and  is called  the  fundamental  or  state  transition  matrix  &{t). Thus, Equation
                             (3.24) can be written as



                                                                                                (3.26)


                             The solution to the unforced  system (that is, when u  =  0) is simply


                                               *i(0      *n(0        <M')~  ~*i(0)"
                                                                     ¢2,1(0   x 2(0)
                                                         *2l(0
                                                                                                (3.27)
                                               *«(0      <M0         <£««(0_  _*„(0)_

                             We note  therefore  that  to determine the state  transition  matrix, all initial conditions
                             are set to 0 except for  one state variable, and the output  of each state variable is eval-
                             uated. That  is, the term faj{t) is the response  of the /th state variable due to an initial
                             condition  on  the jfth  state  variable  when  there  are  zero  initial  conditions  on  all the
                             other variables. We shall use  this relationship  between  the initial conditions  and  the
                             state variables to  evaluate  the coefficients  of the  transition  matrix  in a later section.
                             However, first  we shall develop several suitable  signal-flow  state  models  of systems
                             and investigate the stability  of the systems by utilizing these flow graphs.

                             EXAMPLE 3.1   Two rolling carts

                             Consider  the system shown in Figure 3.5. The variables  of interest  are noted  on the
                             figure  and defined  as: M h  M 2  =  mass  of carts,/?, q  = position  of carts, u  =  external
                             force  acting on system, k\, k 2  = spring constants, and b h  b 2 = damping  coefficients.
                             The free-body  diagram  of mass M x  is shown in Figure 3.6(b), where p,q  = velocity
                             of Mi  and M 2, respectively. We assume that the carts have negligible rolling  friction.
                             We consider any existing rolling friction  to be lumped into the damping  coefficients,
                             b\ and b 2.
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