Information theory and control

Introduction
In control theory, the output of a dynamical system is measured and a control input is applied to regulate its behavior. In most traditional control systems, the measurement and the controller sub-systems are co-located. But there are increasingly many applications where the sensors, controllers and the plant are separated by communication channels. Information theory, in the context of control, concerns itself with studying the interplay between feedback control of dynamical systems and reliable communication over the noisy channels in the feedback loop.


 * Single Observer and a single controller
 * Control under data rate constraints
 * Control over stochastic channels
 * Anytime information theory
 * Channel codes with anytime reliability


 * Decentralized control
 * Witsenhausen's counterexample