Dynamic Virtual Prototyping for Control Engineering

Virtual prototypes, or digital mockups, are the
foundation of digital engineering and product
lifecycle management. While virtual prototyping has
been a valuable tool for control system analysis for
years, there is a growing interest for designing
control systems directly on the basis of virtual
prototypes. Closing the gap between control design
and virtual prototyping would help to avoid
duplication of models, minimize design errors,
facilitate adaptation to product changes, improve
collaboration between product lifecycle processes,
and shorten time to market. But this is hindered by
the heterogeneity, complexity, incompatibility and
incompleteness of models comprising virtual
prototypes and the models required for the control
system development. This book lays out concepts,
identifies methods and tools, and provides
application examples for integrating control system
development and dynamic virtual prototyping a
subclass of virtual prototyping. The intended readers
include system designers and integrators, control
engineers, computer-aided engineering experts,
virtual prototyping systems users and producers.

Autorentext
Dr. Boris Krassi is a research scientist at VTT Technical Research Center of Finland. He holds a Ph.D. degree in computer science from Helsinki University of Technology. Dr. Krassi's research interests include dynamic virtual prototyping, control, adaptive reconfigurable systems, human-machine interfaces, complex systems and cybernetics.

Klappentext
Virtual prototypes, or digital mockups, are the foundation of digital engineering and product lifecycle management. While virtual prototyping has been a valuable tool for control system analysis for years, there is a growing interest for designing control systems directly on the basis of virtual prototypes. Closing the gap between control design and virtual prototyping would help to avoid duplication of models, minimize design errors, facilitate adaptation to product changes, improve collaboration between product lifecycle processes, and shorten time to market. But this is hindered by the heterogeneity, complexity, incompatibility and incompleteness of models comprising virtual prototypes and the models required for the control system development. This book lays out concepts, identifies methods and tools, and provides application examples for integrating control system development and dynamic virtual prototyping - a subclass of virtual prototyping. The intended readers include system designers and integrators, control engineers, computer-aided engineering experts, virtual prototyping systems users and producers.