This paper develops a Linear Quadratic Regulator (LQR), which is robust to disturbance
variability, by using the total variation distance as a metric. The robust LQR problem is …

We derive sequential necessary and sufficient conditions for any channel input conditional
distribution P 0,n =Δ {P Xt|Xt-1,Yt-1 : t = 0, ..., n} to maximize the finite-time horizon directed …

Motivated by the demand of reliable and finite blocklength communications, we employ tools
from information theory, stochastic processes and queueing theory, in order to provide a …

In this paper we analyze nonanticipative (delayless) transmission of source symbols with
memory over channels with memory (with and without feedback). We employ duality of {source, …

The control-coding capacity of stochastic control systems is introduced, and its operational
meaning is established using randomized control strategies, which simultaneously control …

In this chapter, we introduce the information nonanticipative rate distortion function (RDF), and
we compare it with the classical information RDF, identifying certain limitations of the later, …

A method is developed to realize optimal channel input conditional distributions, which
maximize the finite transmission feedback information (FTFI) capacity, often called $n$ -block …

We consider a unit memory channel, called Binary State Symmetric Channel (BSSC), in
which the channel state is the modulo2 addition of the current channel input and the previous …

Directed information is an information theoretic measure which accounts for the direction of
information flow over causal systems with feedback, such as network communication and …

We investigate the control-coding (CC) capacity of general dynamical decision models (DMs)
that involve nonlinear filtering, which is absent in the specific DMs investigated in [CK …