In this paper we present a novel formulation for the optimal control of discrete event dynamic processes which represent production systems with unreliable machines and buffers of...
Abstract— Discrete power allocation strategies for amplifyand-forward cooperative networks are proposed based on selective relaying methods. The goal of power allocation is to ma...
The Learnable Evolution Model (LEM) involves alternating periods of optimization and learning, performa extremely well on a range of problems, a specialises in achieveing good resu...
: In this paper we propose an approach for discrete event systems control optimization, based on the theory developed by Ramadge and Wonham and on the Limited Lookahead Policy stra...
We present a method for the hierarchical representation of vector fields. Our approach is based on iterative refinement using clustering and principal component analysis. The inpu...