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Model-Based Systems Engineering [Hardcover]

A. Wayne Wymore (Author)
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Book Description

Publication Date: April 5 1993 | ISBN-10: 084938012X | ISBN-13: 978-0849380129
Model-Based Systems Engineering explains the fundamental theories behind model-based systems and the considerations involved in applying theory to the design of real systems. The book begins by presenting terms used in systems engineering and introducing the discrete system and its components. The remainder of the text explains topics such as the mathematical theory of system coupling, the homomorphic relationship between systems, the concept of system mode, the mathematical structure of T3SD system requirements, and the implications of that structure for T3SD system design. Appendices include a short bibliography, detailed definitions of all examples discussed in the text, a list of all notations used, and an index.
Model-Based Systems Engineering is an excellent text for engineering students, and an invaluable reference for engineers and scientists.

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1.1 The purpose of this chapter is to motivate the mathematical theory developed in the rest of the book; the purpose of the mathematical theory is to support the systems engineering process described in this chapter. Read the first page
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Front Cover | Copyright | Table of Contents | Excerpt | Index | Back Cover
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Amazon.com: 4.5 out of 5 stars  4 reviews
5 of 5 people found the following review helpful
4.0 out of 5 stars Good book, sadly neglected theory Oct 22 2005
By A. McInnes - Published on Amazon.com
Format:Hardcover
Wayne Wymore has been working on providing systems engineering with a rigorous mathematical foundation for the last 40 years or so, and his work has been sadly neglected for most of that time. MBSE is a more recent publication, which seeks to set down in one place all of the theory Wymore has developed over the years. The book itself is extremely dense, quite terse in places, and very mathematically intense. However, the insights that you will gain into system requirements and system design are invaluable. Even if you don't use Wymore's theory in day-to-day practice, his mathematical framework will give you a context within which you can understand the huge variety of other (often less well-defined) system design methodologies out there. Highly recommended.
4 of 4 people found the following review helpful
5.0 out of 5 stars Difficult but rewarding Sep 20 2005
By Stephen W. Strom - Published on Amazon.com
Format:Hardcover
This is a difficult and rigorous book. The insights it contains are available nowhere else that I am aware of. With all the emphasis these days on 'Model Driven Architecture', this text richly deserves to be revisited and perhaps revised to match the latest UML and OCL notations.

As an example, when going from Use Cases to design, a frequent piece of advice is to consolidate the Use Case behavior into a smaller set of state machines rather than building one state machine per Use Case. But exactly how do you do this? And how can you be sure that the resulting state machine is equivalent to the original Use Cases? Wymore's text answers this question, and many others which are normally treated with hand-waving in other texts.

Don't buy this book unless you are willing to learn and apply a non-mainstream mathematical modeling language.
1 of 1 people found the following review helpful
4.0 out of 5 stars A Pioneering Start April 18 2012
By Kenneth A. Lloyd Jr. - Published on Amazon.com
Format:Hardcover
Many people think that I am too critical of Wymore's book. That may be true. To preface my comments, Wymore's book is an excellent, pioneering start to a challenging problem space - a rigorous mathematical formalism for the engineering of systems, and by extension a science of systems. Wymore used the mathematics of his time - a discrete, set-theoretic approach that still permeates, indeed dominates, model based systems engineering today.

After decades of experience in systems engineering - and specifically model based systems engineering - had Wymore used category theory, with its higher order logic and internal proof systems, the conceptual clarity could have been more explicit - and some of the more controversial conceptualizations (like cotyledons, and models of discontinuous and continuous systems) refined. Today, the controversy regarding mathematical foundations for systems engineering continue. Many argue their points from a philosophical position, thinking a mathematical formalism impossible. Yet they never offer a rigorous (but Godelian incomplete) proof of their positions.

A category-theoretic formalism for systems modelling languages - such as Petri-Nets or SysML - could take us so much further, not only for traditional, hierarchical systems, but for recurrent, non-linear, network coupled systems (complex systems) as well.

Wymore's book is akin to learning Newtonian mechanics before approaching quantum mechanics.

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