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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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.
„Über diesen Titel“ kann sich auf eine andere Ausgabe dieses Titels beziehen.
Anbieter: preigu, Osnabrück, Deutschland
Taschenbuch. Zustand: Neu. Control Theory of Digitally Networked Dynamic Systems | Jan Lunze | Taschenbuch | xvii | Englisch | 2015 | Palgrave Macmillan | EAN 9783319033600 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. Artikel-Nr. 104171411
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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. Artikel-Nr. 9783319033600
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