Control Theory of Digitally Networked Dynamic Systems Softcover reprint of the original 1st ed. 2014 Edition

Control Theory of Digitally Networked Dynamic Systems Softcover reprint of the original 1st ed. 2014 Edition book cover

Control Theory of Digitally Networked Dynamic Systems Softcover reprint of the original 1st ed. 2014 Edition

Author(s): Jan Lunze

  • Publisher: Springer
  • Publication Date: 5 Aug. 2015
  • Edition: Softcover reprint of the original 1st ed. 2014
  • Language: English
  • Print length: 411 pages
  • ISBN-10: 3319033603
  • ISBN-13: 9783319033600

Book Description

The book gives an introduction to networked control systems and describes new modeling paradigms, analysis methods for event-driven, digitally networked systems, and design methods for distributed estimation and control. Networked model predictive control is developed as a means to tolerate time delays and packet loss brought about by the communication network. In event-based control the traditional periodic sampling is replaced by state-dependent triggering schemes. Novel methods for multi-agent systems ensure complete or clustered synchrony of agents with identical or with individual dynamics.

The book includes numerous references to the most recent literature. Many methods are illustrated by numerical examples or experimental results.

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From the Back Cover

The book gives an introduction to networked control systems and describes new modeling paradigms, analysis methods for event-driven, digitally networked systems, and design methods for distributed estimation and control. Networked model predictive control is developed as a means to tolerate time delays and packet loss brought about by the communication network. In event-based control the traditional periodic sampling is replaced by state-dependent triggering schemes. Novel methods for multi-agent systems ensure complete or clustered synchrony of agents with identical or with individual dynamics.

The book includes numerous references to the most recent literature. Many methods are illustrated by numerical examples or experimental results.

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