Control of Mechatronic Systems Model-Driven Design and Implementation Guidelines
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Form:Einzelkauf Download
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Sprache:Englisch
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eBook Format:ePUB 3
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116,99 €
inkl. gesetzl. MwSt.Beschreibung
Produktdetails
Format
ePUB 3
Kopierschutz
Ja
Family Sharing
Nein
Text-to-Speech
Ja
Erscheinungsdatum
23.12.2020
Verlag
Wiley-ScrivenerSeitenzahl
(Printausgabe)
Dateigröße
36145 KB
Auflage
1. Auflage
Sprache
Englisch
EAN
9781119505754
A practical methodology for designing integrated automation control for systems and processes
Implementing digital control within mechanical-electronic (mechatronic) systems is essential to respond to the growing demand for high-efficiency machines and processes. In practice, the most efficient digital control often integrates time-driven and event-driven characteristics within a single control scheme. However, most of the current engineering literature on the design of digital control systems presents discrete-time systems and discrete-event systems separately. Control Of Mechatronic Systems: Model-Driven Design And Implementation Guidelines unites the two systems, revisiting the concept of automated control by presenting a unique practical methodology for whole-system integration. With its innovative hybrid approach to the modeling, analysis, and design of control systems, this text provides material for mechatronic engineering and process automation courses, as well as for self-study across engineering disciplines. Real-life design problems and automation case studies help readers transfer theory to practice, whether they are building single machines or large-scale industrial systems.
* Presents a novel approach to the integration of discrete-time and discrete-event systems within mechatronic systems and industrial processes
* Offers user-friendly self-study units, with worked examples and numerous real-world exercises in each chapter
* Covers a range of engineering disciplines and applies to small- and large-scale systems, for broad appeal in research and practice
* Provides a firm theoretical foundation allowing readers to comprehend the underlying technologies of mechatronic systems and processes
Control Of Mechatronic Systems is an important text for advanced students and professionals of all levels engaged in a broad range of engineering disciplines.
Implementing digital control within mechanical-electronic (mechatronic) systems is essential to respond to the growing demand for high-efficiency machines and processes. In practice, the most efficient digital control often integrates time-driven and event-driven characteristics within a single control scheme. However, most of the current engineering literature on the design of digital control systems presents discrete-time systems and discrete-event systems separately. Control Of Mechatronic Systems: Model-Driven Design And Implementation Guidelines unites the two systems, revisiting the concept of automated control by presenting a unique practical methodology for whole-system integration. With its innovative hybrid approach to the modeling, analysis, and design of control systems, this text provides material for mechatronic engineering and process automation courses, as well as for self-study across engineering disciplines. Real-life design problems and automation case studies help readers transfer theory to practice, whether they are building single machines or large-scale industrial systems.
* Presents a novel approach to the integration of discrete-time and discrete-event systems within mechatronic systems and industrial processes
* Offers user-friendly self-study units, with worked examples and numerous real-world exercises in each chapter
* Covers a range of engineering disciplines and applies to small- and large-scale systems, for broad appeal in research and practice
* Provides a firm theoretical foundation allowing readers to comprehend the underlying technologies of mechatronic systems and processes
Control Of Mechatronic Systems is an important text for advanced students and professionals of all levels engaged in a broad range of engineering disciplines.
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