Capturing Connectivity and Causality in Complex Industrial Processes

This brief reviews concepts of inter-relationship in modern industrial processes, biological and social systems. Specifically ideas of connectivity and causality within and between elements of a complex system are treated; these ideas are of great importance in analysing and influencing mechanisms,...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Yang, Fan (Autor), Duan, Ping (Autor), Shah, Sirish L. (Autor), Chen, Tongwen (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Cham : Springer International Publishing : Imprint: Springer, 2014.
Edición:1st ed. 2014.
Colección:SpringerBriefs in Applied Sciences and Technology,
Temas:
Dynamics.
Nonlinear theories.
Mathematical models.
Control engineering.
Chemistry, Technical.
Statistics .
Applied Dynamical Systems.
Mathematical Modeling and Industrial Mathematics.
Control and Systems Theory.
Industrial Chemistry.
Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • Introduction
  • Examples of Applications for Connectivity and Causality Analysis
  • Description of Connectivity and Causality
  • Capturing Connectivity and Causality from Process Knowledge
  • Capturing Causality from Process Data
  • Case Studies.

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