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...

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...