scispace - formally typeset
F

Flor Narciso

Researcher at University of Los Andes

Publications -  13
Citations -  54

Flor Narciso is an academic researcher from University of Los Andes. The author has contributed to research in topics: Robust control & Linear system. The author has an hindex of 3, co-authored 13 publications receiving 50 citations.

Papers
More filters
Journal Article

Una Metodología para el Modelado de Sistemas de Ingeniería Orientado a Agentes

TL;DR: A MASINA, una metodologia que comprende las fases de conceptualizacion, analisis, diseno, codificacion y pruebas de sistemas de ingenieria basados en agentes, fundamentada en the metodOLOGia MultiAgent Systems for INtegrated Automation, desarrollada para especificar sistsemas multiagentes in ambientes de automatizacion industrial.
Journal ArticleDOI

An integration architecture for the automation of a continuous production complex.

TL;DR: This work proposes a new approach for designing and building integrated automation systems, where process behavior, operation conditions and equipment conditions are integrated into a hierarchical automation architecture.
Proceedings Article

A syntactic specification for the programming languages of the IEC 61131-3 standard

TL;DR: With the grammar described, it is possible to build a translator using open standards and open source that can generate code in high level programming language (like C programming language) to support the management of control logics.

A robust control by extended static output feedback for discrete-time uncertain linear systems

TL;DR: In this paper, a novel approach for the controller synthesis in discrete-time linear systems (DTLS) with uncertainty polytopical type, by means of the extended static feedback of the measured output, is presented.
Proceedings Article

A robust control by extended static output feedback for discrete-time uncertain linear systems

TL;DR: A novel approach for the controller synthesis in discrete-time linear systems (DTLS) with uncertainty polytopical type, by means of the extended static feedback of the measured output, which consists of designing feedback gains for the injection of the output and its derivative, which corresponds to the control signal.