Electronic Resource

Cyber-Physical Systems: A Model-Based Approach

In this concise yet comprehensive Open Access textbook, future inventors are introduced to the key concepts of Cyber-Physical Systems (CPS). Using modeling as a way to develop deeper understanding of the computational and physical components of these systems, one can express new designs in a way that facilitates their simulation, visualization, and analysis. Concepts are introduced in a cross-disciplinary way. Leveraging hybrid (continuous/discrete) systems as a unifying framework and Acumen as a modeling environment, the book bridges the conceptual gap in modeling skills needed for physical systems on the one hand and computational systems on the other. In doing so, the book gives the reader the modeling and design skills they need to build smart, IT-enabled products.
Starting with a look at various examples and characteristics of Cyber-Physical Systems, the book progresses to explain how the area brings together several previously distinct ones such as Embedded Systems, Control Theory, and Mechatronics.

Featuring a simulation-based project that focuses on a robotics problem (how to design a robot that can play ping-pong) as a useful example of a CPS domain, Cyber-Physical Systems: A Model-Based Approach demonstrates the intimate coupling between cyber and physical components, and how designing robots reveals several non-trivial control problems, significant embedded and real-time computation requirements, and a need to consider issues of communication and preconceptions.

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Detail Information

Series Title

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Call Number

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Publisher

: Springer International Publishing., 2021

Collation

XXIII, 187 hlm; ill., lamp.,

Language

English

ISBN/ISSN

9783030360719

Classification

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Content Type

text

Media Type

computer

Carrier Type

online resource

Edition

1

Subject(s)

Mechatronics
Simulation and Modeling

IoT
Cyber-physical systems

Specific Detail Info

Offers a unique perspective to gain the skills needed for learning, applying, and developing a wide range of scientific, engineering, and social knowledge that are key to engineering future systems Introduces key concepts from different areas in an efficient manner. The disciplines considered include physical modeling, control, hybrid systems, computational modeling, and game theory Focuses on modeling, and uses simulation rather than analytical methods to provide generality and avoid the need for specialized mathematical skills. Assumes very little mathematical prerequisites, and offers the opportunity to review and sharpen mathematical skills

Statement of Responsibility

Walid M. Taha , Abd-Elhamid M. Taha , Johan Thunberg

Other Information

Cataloger

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Source

https://link.springer.com/book/10.1007/978-3-030-36071-9

Validator

ida

Digital Object Identifier (DOI)

https://doi.org/10.1007/978-3-030-36071-9

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Journal Issue

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Parallel Title

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