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Metamodelling: Bond Graphs and Dynamic Systems

Gawthrop, Peter; Smith, Lorcan

This is a 1996 textbook.

With the increasing complexity of processes to be analysed, the
modern control engineer often needs to develop a model of the system
to be controlled. However, in many cases, there is limited time for
detailed system analysis, and the engineer may not be an expert in
that particular system domain. This book is aimed at graduate
engineers (and postgraduate students) who wish to use a systematic
approach to model development that is suited to computer-aided
modelling environments.

The goal of this book is to support the use of modelling as a
useful knowledge-enhancing exercise, and to propose
corresponding modelling methodologies. The motivation for this
is the widespread use of models in analysing and simulating
systems for safe and cost-effective evaluation of new
processes. The context is primarily that of control system
design, due to the extensive use of models of the process, and
its disturbances, in modern design methods.

We use the term metamodelling to describe the approach taken;
i.e. a modelling methodology which transcends the accepted
mathematical models for specific applications. This methodology
abstracts general models from first principles, by
employing an existing notation (bond graphs) as a metalanguage
for describing physical systems. This book is, therefore,
concerned with separating out the model development process
from the functions for which the model is developed, in order
to enhance understanding of the essentials of the real physical
systems.

This book is organised in two parts, so that the reader may
first understand the motivation and the basic concepts, and
then have the proposed methodology illustrated by a variety of
examples covering a wide selection of applications.

The first part describes general modelling principles, based on
system decomposition, first using classical dynamical analysis
and then via the energy bond graph notation. Bond graphs are
shown to provide a powerful core model representation from
which a variety of mathematical models may be derived. Bond
graphs provide a useful means of illustrating causality which
is shown to be a crucial aspect of system modelling.

The second part uses specific case studies to illustrate the
application of this methodology to systematic generation of the
most widely used mathematical models. Reference is made to a
computer-aided modelling tool (MTT), which is a research modelling
toolbox which uses bond graphs to support the modelling of
dynamic processes.

This textbook was originally published by Prentice-Hall in 1996. The rights were returned to the authors on 21st July, 2003.

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