This monograph focuses on characterizing the stability and performance
consequences of inserting limited-capacity communication networks within
a control loop. The text shows how integration of the ideas of control
and estimation with those of communication and information theory can be
used to provide important insights concerning several fundamental
problems such as:
- minimum data rate for stabilization of linear systems over noisy
channels;
- minimum network requirement for stabilization of linear systems over
fading channels; and
- stability of Kalman filtering with intermittent observations.
A fundamental link is revealed between the topological entropy of linear
dynamical systems and the capacities of communication channels. The
design of a logarithmic quantizer for the stabilization of linear
systems under various network environments is also extensively discussed
and solutions to many problems of Kalman filtering with intermittent
observations are demonstrated.
Analysis and Design of Networked Control Systems will interest control
theorists and engineers working with networked systems and may also be
used as a resource for graduate students with backgrounds in applied
mathematics, communications or control who are studying such systems.