Page 728 - Mechanical Engineers' Handbook (Volume 2)
P. 728

2 State-Space Equations for Continuous-Time and Discrete-Time Systems  719

                           Equation (1) is the state equation and Eq. (2) is the output equation. The state, output, and
                           input vectors are

                                                                y (t)
                                                 x (t)
                                                                               u (t)
                                                                                1
                                                  1
                                                                 1
                                                                               u (t)
                                                                y (t)
                                                 x (t)
                                          x(t)    2      y(t)    2      u(t)    2                (3)
                                                 x (t)          y (t)          u (t)
                                                  n
                                                                 p
                                                                                r
                           The elements x (t), x (t),..., x (t) of the state vector are the state variables of the system.
                                       1
                                           2
                                                    n
                              Formulation of the higher order system differential equations as a set of first-order
                           differential equations has the advantage that the latter are easier to solve by numerical meth-
                           ods than the former. If the functions f and g are linear functions of x(t) and u(t), the system
                           can be described by linear ordinary differential equations. Matrix notation can then be em-
                           ployed to simplify their representation:
                                                 ˙ x(t)   A(t)x(t)   B(t)u(t)  t   t 0           (4)
                                                 y(t)   C(t)x(t)   D(t)u(t)  t   t 0             (5)
                           where A(t)   n   n system matrix
                                B(t)   n   r input–state coupling matrix
                                C(t)   p   n state–output coupling matrix
                                D(t)   p   r input–output transmission matrix
                           A block diagram representation of Eqs. (4) and (5) is given in Fig. 1 using standard symbols
                           appropriate for simulation diagrams. If the system is linear and time invariant (LTI), the
                           matrices noted become constant matrices, as indicated by the following equations:
                                                   ˙ x(t)   Ax(t)   Bu(t)  t   t                 (6)
                                                                           0
                                                  y(t)   Cx(t)   Du(t)  t   t                    (7)
                                                                           0
                              If only values of the input and output variables at discrete instants in time are of interest,
                           difference equations are appropriate for describing their relationship. The difference equa-
                           tions describing the input–output behavior of an nth-order, discrete-time, nonlinear, time-
                           varying, lumped-parameter system can be written in the form of a first-order vector difference
                           equation and a vector output equation:
                                                x(t k 1 )   f[x(t ), u(t ), t ]  t   t 0         (8)
                                                                         k
                                                                   k
                                                           k
                                                                k
                                                  y(t )   g[x(t ), u(t ), t ]  t   t 0           (9)
                                                            k
                                                    k
                                                                         k
                                                                   k
                                                                k








                                                Figure 1 Linear continuous-time system.
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