An introduction to nonlinear and continuous systems using bond graph methodology, this textbook gives readers the foundations they need to apply physical system models in practice

Giving an integrated and uniform approach to system modeling, analysis and control, this book uses realistic examples to link empirical, analytical and numerical approaches. This introduction gives readers the essential foundations towards more advanced and practical topics in systems engineering. Rather than using only a linear modeling methodology, this book also uses nonlinear modeling approaches. This is a very useful aspect of the book, since engineers are often faced with modeling nonlinear physical systems.

The authors approach the topic using bond graph methodology, a well known and powerful approach for the modeling and analysis of multi-energy domain systems at the physical level. With a strong focus on the fundamentals, the authors ensure that the various modeling approaches available are outlined, always with implementation in mind. Beginning by covering core topics which engineering students will have been exposed to in their first two years of study, the next sections introduce systematic modeling development using a bond graph approach followed by analysis. The later chapters expand on the reader’s foundational understanding of systems, helping to begin dealing with more complex phenomena. This includes making decisions about what to model and how much complexity is needed for a particular problem.

Includes tables summarizing fundamental modeling elements and principles, sets of problems and case studies of real-world applications
Emphasizes simulation throughout the book as a means to enable reader understanding
Topics introduced include: mechanical, electrical, thermal, fluid, magnetic and chemical systems
Gives insight into controls problems by building a better understanding of the physical system and developing tools and methods that enable users to modify models

Modeling of Physical Systems - inbunden, Engelska, 2024