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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…mehr

Produktbeschreibung
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.

Autorenporträt
Jan Lunze, 1970-74 Studium der Technischen Kybernetik an der Technischen Universität Ilmenau, 1980 Promotion auf dem Gebiet der dezentralen Regelung, 1983 Habilitation über robuste Regelung, seit 2001 Leiter des Lehrstuhls für Automatisierungstechnik und Prozessinformatik der Ruhr-Universität Bochum, Koordinator des Schwerpunktprogramms Regelungstheorie digital vernetzter dynamischer Systeme der Deutschen Forschungsgemeinschaft.