This paper addresses the state estimation problem of nonlinear systems. We formulate the problem using a minimum energy estimator (MEE) approach and propose an entropy penalized sc...
Sergio Daniel Pequito, A. Pedro Aguiar, Diogo A. G...
Stochastic programming problems appear as mathematical models for optimization problems under stochastic uncertainty. Most computational approaches for solving such models are base...
Data Flow Analysis as expressed by Monotone Frameworks is often associated with classical imperative programming languages and has played a crucial role in the efficient implementa...
We introduce a Control Flow Analysis, that statically approximates the dynamic behaviour of processes, expressed in the Beta-Binders calculus. Our analysis of a system is able to ...
Typical real-time scheduling theory has addressed deadline and energy constraints as well as deadline and reward constraints simultaneously in the past. However, we believe that e...