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44    Chapter  Two

               where X(s) and X (s) are, respectively, the Laplace transforms of the
                              2
               actuator length signal x(t) and the position x (t).
                                                     2
                   Combination of both subsystem transfer functions using Eq. (2.25)
               and elimination of X(s) leads to the transfer function G(s) for the total
               system:

                                                   +
                                  Xs ()     ms +  cs k
                                              2
                            Gs () =  2  =    1                      (2.34)
                                                    2
                                  Qs ()  ( m +  m s )  3 + cs +  ks
                                          1   2
               2.2.4 Nonlinearities
               Unfortunately, the dynamic behavior of many real-life systems cannot
               be accurately described by a combination of the nice linear building
               blocks mentioned earlier because they also exhibit some nonlinear
               behavior. Although modeling linear dynamic systems is fairly straight-
               forward using the principles discussed in the previous sections, mod-
               eling nonlinear systems is more complex. It has, however, been shown
               in the literature that a wide range of nonlinear systems can be mod-
               eled as a cascade of linear dynamic systems and nonlinear static
               elements (Nelles 2001). When a system has a nonlinear element before
               the linear dynamic system, it is called a Hammerstein model, and a sys-
               tem with output nonlinearity is known as a Wiener model.
                   Two architectures are commonly used to describe nonlinear sys-
               tems. The first consists of a linear dynamic system followed by a non-
               linear static element and another linear dynamic system, known as
               the Wiener–Hammerstein model. The second architecture is composed
               of a linear dynamic system preceded and followed by nonlinear static
               elements, known as the Hammerstein–Wiener model.
                   In this section, we present an overview of some nonlinear elements
               that are common for biologically related systems, together with some
               examples of systems containing these nonlinear elements.

               Dead Zone
               A linear system model describes the output signal as a (frequency-
               dependent) multiple of the input. However, many real-life systems
               will only react when the input signal is sufficiently large. We can thus
               define a band or zone of input signals for which the system remains
               unaffected as the dead zone.
                   For example, in a tooth-wheel connection there typically is some
               slop, called backlash, which makes that the first wheel (input) has to
               rotate a little before touching the second wheel (output) and put it
               into rotation as well. Another example can be found in the dead zone
               of a hydraulic valve. Only when the current generates a sufficiently
               large magnetic force through its solenoid will the valve open and
               generate an oil flow. The static relation between the input and the
               output of a system with dead zone is illustrated in Fig. 2.6.
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