Research Repository

A system-on-chip development of a neuro-fuzzy embedded agent for ambient-intelligence environments.

del Campo, Inés and del Campo, Inés and Basterretxea, Koldo and Echanobe, Javier and Bosque, Guillermo and Doctor, Faiyaz (2012) 'A system-on-chip development of a neuro-fuzzy embedded agent for ambient-intelligence environments.' IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics, 42 (2). 501 - 512. ISSN 1083-4419

Full text not available from this repository.

Abstract

This paper presents the development of a neuro-fuzzy agent for ambient-intelligence environments. The agent has been implemented as a system-on-chip (SoC) on a reconfigurable device, i.e., a field-programmable gate array. It is a hardware/software (HW/SW) architecture developed around a MicroBlaze processor (SW partition) and a set of parallel intellectual property cores for neuro-fuzzy modeling (HW partition). The SoC is an autonomous electronic device able to perform real-time control of the environment in a personalized and adaptive way, anticipating the desires and needs of its inhabitants. The scheme used to model the intelligent agent is a particular class of an adaptive neuro-fuzzy inference system with piecewise multilinear behavior. The main characteristics of our model are computational efficiency, scalability, and universal approximation capability. Several online experiments have been performed with data obtained in a real ubiquitous computing environment test bed. Results obtained show that the SoC is able to provide high-performance control and adaptation in a life-long mode while retaining the modeling capabilities of similar agent-based approaches implemented on larger computing machines.

Item Type: Article
Divisions: Faculty of Science and Health > Computer Science and Electronic Engineering, School of
Depositing User: Elements
Date Deposited: 22 Apr 2021 13:03
Last Modified: 22 Apr 2021 13:15
URI: http://repository.essex.ac.uk/id/eprint/21450

Actions (login required)

View Item View Item