COMPUTER MODELS OF PROCESS DYNAMICS Comprehensive overview of
techniques for describing physical phenomena by means of computer
models that are determined by mathematical analysis Computer Models
of Process Dynamics covers everything required to do computer based
mathematical modeling of dynamic systems, including an introduction
to a scientific language, its use to program essential operations,
and methods to approximate the integration of continuous signals.
From a practical standpoint, readers will learn how to build
computer models that simulate differential equations. They are also
shown how to model physical objects of increasing complexity, where
the most complex objects are simulated by finite element models,
and how to follow a formal procedure in order to build a valid
computer model. To aid in reader comprehension, a series of case
studies is presented that covers myriad different topics to provide
a view of the challenges that fall within this discipline. The book
concludes with a discussion of how computer models are used in an
engineering project where the readers would operate in a team
environment. Other topics covered in Computer Models of Process
Dynamics include: Computer hardware and software, covering
algebraic expressions, math functions, computation loops,
decision-making, graphics, and user-defined functions Creative
thinking and scientific theories, covering the Ancients, the
Renaissance, Galileo, Newton, electricity and magnetism, and newer
sciences Uncertainty and softer science, covering random number
generators, statistical analysis of data, the method of least
squares, and state/velocity estimators Flight simulators, covering
the motion of an aircraft, the equations of motion, short period
pitching motion, and phugoid motion Established engineers and
programmers, along with students and academics in related programs
of study, can harness the comprehensive information in Computer
Models of Process Dynamics to gain mastery over the subject and be
ready to use their knowledge in many practical applications in the
field.
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