Abstract: The position paper outlines a method transforming adaptation rules in a self-adaptive system to a machine learning problem using neural networks.

The position paper outlines a method transforming adaptation rules in a self-adaptive system to a machine learning problem using neural networks.

In this paper, we focus on exploiting neural networks for the analysis and planning stage in self-adaptive architectures. The studied motivating cases in ...

Towards Model-driven Fuzzification of Adaptive Systems Specification: Authors: T. Bureš, P. Hnětynka, M. Kruliš, J. Pacovský. Publication: Proceedings of the ...

Towards Model-driven Fuzzification of Adaptive Systems Specification. Tomás Bures,Petr Hnetynka,Martin Krulis,Jan Pacovský. Proceedings of the 10th ...

In this paper, a novel adaptive tuning method for the classical PID controller is developed to control nonlinear processes as well as adapt to abrupt ...

Apr 4, 2017 · In this paper, we propose a fuzzy-based approach to modeling uncertainty and achieving evolution. The approach introduces specifications to describe fuzziness.

This paper presents FLAGS, an innovative goal model that generalizes the KAOS model, adds adaptive goals to embed adaptation countermeasures, and fosters self- ...

The paper presents a model reference adaptive fuzzy control scheme which is suitable for high-order systems of well-known structure.

[9] has explored the MDA transformation technique to model the whole service for providing adaptive service composition. MDA transformation entails transforming ...