Big data analytics for cyber-physical systems

1Citations
Citations of this article
26Readers
Mendeley users who have this article in their library.
Get full text

Abstract

This book highlights research and survey articles dedicated to big data techniques for cyber-physical system (CPS), which addresses the close interactions and feedback controls between cyber components and physical components. The book first discusses some fundamental big data problems and solutions in large scale distributed CPSs. The book then addresses the design and control challenges in multiple CPS domains such as vehicular system, smart city, smart building, and digital microfluidic biochips. This book also presents the recent advances and trends in the maritime simulation system and the flood defence system. Helps readers understand the fundamentals of how big data analytics and optimization are involved in developing the cyber-physical systems; Presents readers with practical tools and design methodologies for implementing highly efficient big data based cyber-physical systems; Introduces recent advances and trends in leveraging big data techniques in a wide spectrum of domains of cyber-physical systems.

Cite

CITATION STYLE

APA

Hu, S., & Yu, B. (2020). Big data analytics for cyber-physical systems. Big Data Analytics for Cyber-Physical Systems (pp. 1–270). Springer International Publishing. https://doi.org/10.1007/978-3-030-43494-6

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free