Control Theory of Digitally Networked Dynamic Systems - Brossura

 
9783319033600: Control Theory of Digitally Networked Dynamic Systems

Sinossi

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.

Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.

Dalla quarta di copertina

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.

Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.

Altre edizioni note dello stesso titolo

9783319011301: Control Theory of Digitally Networked Dynamic Systems

Edizione in evidenza

ISBN 10:  3319011308 ISBN 13:  9783319011301
Casa editrice: Springer Nature, 2013
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