Efficient modeling and control of large-scale systems

Complexity and dynamic order of controlled engineering systems is constantly increasing. Complex large scale systems (where "large" reflects the system s order and not necessarily its physical size) appear in many engineering fields, such as micro-electromechanics, manufacturing, aerospace...

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Autres auteurs: Mohammadpour, Javad, 19..- (Directeur de la publication), Grigoriadis, Karolos M. (Directeur de la publication)
Format: Livre numérique
Langue:Anglais
Publié: Boston, MA : Springer US [20..].
Cham : Springer Nature
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Edition sous un autre format:• Efficient Modeling and Control of Large-Scale Systems, Texte imprimé, 9781441957566
Description
Résumé:Complexity and dynamic order of controlled engineering systems is constantly increasing. Complex large scale systems (where "large" reflects the system s order and not necessarily its physical size) appear in many engineering fields, such as micro-electromechanics, manufacturing, aerospace, civil engineering and power engineering. Modeling of these systems often result in very high-order models imposing great challenges to the analysis, design and control problems. "Efficient Modeling and Control of Large-Scale Systems" compiles state-of-the-art contributions on recent analytical and computational methods for addressing model reduction, performance analysis and feedback control design for such systems. Also addressed at length are new theoretical developments, novel computational approaches and illustrative applications to various fields, along with: - An interdisciplinary focus emphasizing methods and approaches that can be commonly applied in various engineering fields -Examinations of applications in various fields including micro-electromechanical systems (MEMS), manufacturing processes, power networks, traffic control "Efficient Modeling and Control of Large-Scale Systems" is an ideal volume for engineers and researchers working in the fields of control and dynamic systems
Description:Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
ISBN:9781441957573
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