Why this book now? A key direction for research in systems and control involves
engineering systems. These are highly distributed collective systems with humans in the …

When an adversary illicitly uses spectrum that it is not authorized for, it does so with a
purpose in mind, such as to download a file or perhaps engage in a real-time …

This paper considers a class of reinforcement-based learning (namely, perturbed learning
automata) and provides a stochastic-stability analysis in repeatedly played, positive-utility …

This paper introduces a resource allocation framework specifically tailored for addressing
the problem of dynamic placement (or pinning) of parallelized applications to processing …

The problem of efficient resource allocation has drawn significant attention in many scientific
disciplines due to its direct societal benefits, such as energy savings. Traditional approaches …

Unified analysis of multi-agent decision processes has garnered an increasing amount of
attention in recent years. Out of this unification literature, a set of ordinary differential …

This paper describes a dynamic framework for mapping the threads of parallel applications
to the computation cores of parallel systems. We propose a feedback-based mechanism …

Online output prediction is an indispensable part of any model predictive control
implementation. For several application scenarios, operating conditions may change quite …

This paper considers a class of reinforcement-learning that belongs to the family of Learning
Automata and provides a stochastic-stability analysis in strategic-form games. For this class …

In this paper, we propose a discrete-time Nash equilibrium-seeking reinforcement learning
algorithm for n-player finite games which can be adapted to leverage side information when …