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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