The
introductory chapter deals with the basic
terminology of the systemtheory, mathematical and
physical modeling. The principles and application
of the modelingand simulation are illustrated in
the case study. The
mathematicalphysical modeling of different
systems is the topic ofthe following five
chapters. The basic rules of the physical
modeling of the real systemsof different kind 
mechanical systems, electrical systems, hydraulic
systems, pneumaticsystems and thermal systems 
are given in the separate chapters. The derived
mathematicalmodels are in the form of the
differential equations, transfer functions and
blockdiagrams. The topic modeling is summarized
in the seventh chapter that deals with
thephysical analogy.
The methods of the
experimental identification are the topic of
thesecond part of the book. The used mathematical
models and input signals are shown.
Thecharacteristics of the basic linear dynamic
systems are described. The methods used
thedeterministic input signals are explained 
how to approximate the step and impulseresponse
of the system, how to build the step response
from the impulse or ramp response.The methods for
parametrization of the impuls and step response
are described in the nextchapter.
The statistic methods of the
system identification are the topic of thenext
three chapters. The basic statistic terms, the
correlation methods and random inputsignals are
explained.
The system identification
using the discrete model parametrization
isdescribed in the next chapter. The construction
of the process models AR, ARMA and dynamicsystems
models ARX, ARMAX, Output Error and BoxJenkins
is explained. The parametrizationusing the least
squares method and instrumental variable methods
and their recursive formare derived.
The identification of the
systems operating in the closed loop is thetopic
of the last chapter. The direct and indirect
methods with and without test signalare shown.
The printed scripts of the
MATLAB commands and simulation models of
theprogram Simulink could help with the study of
the described methods. They could be alsovery
helpful to the readers tasks solution.
The book is intended for the
students and engineers that are interestedin the
modeling and identification of the dynamic
systems. It gives the basic knowledgefrom the
system modeling and identification. The
explaining of the differentidentification methods
could be very helpful to the application of the
methods implementedin the Identification Toolbox
and Signal Processing Toolbox of the MATLAB 
Simulink.
