Fernando Artaza

• Doctor of Engineering
• Head of Department at University of the Basque Country

This paper presents the methodology employed by the Intelligent Control Research Group (GICI) of the UPV/EHU for developing intelligent control strategies and implementing them on real-time platforms. Previous works have focused on the simulation phase of the methodology. However, this work represents one of the final steps where the code, after si...

Este trabajo tiene como objetivo contribuir al uso de técnicas de Computación Inteligente para la obtención, en este caso, de un modelo perfectamente funcional de un sistema MIMO (Multi-Input Multi- Output) de tipo Twin-Rotor. Dicho sistema presenta en determinados puntos de trabajo un elevado grado de no linealidad debido a las características int...

The benefits of using the Nonlinear Model Predictive Control (NMPC) for the response optimization of highly complex controlled plants are well known. Nevertheless the complexity and associated high computational cost make its implementation and reliability the focus of the discussion. This paper proposes an Intelligent and Multi-Objective NMPC (iMO...

The interest in using mobile robots in education has increased over the last two decades, as it is a multidisciplinary exercise in which the student needs to apply different subjects related to robotics, control engineering, software engineering, and electronics. In this chapter, the design and development of a mobile robot focused on the assistanc...

This work presents a Hybrid Model Library (HML) for enhancing the analysis of ship electrical systems. Lots of studies were made in order to select the most appropriated software platform to test the new models developed. This work shows examples of models developed in Simulink-MATLAB and PSIM platforms. Later on, we present a research methodology...

This paper presents an Adaptive Predictive Control strategy based on Neural Networks for nonlinear systems. In order to train the Neural Network controller, an identification of the system is carried out by the Neural Network Identifier. This second Neural Network provides the training terms related to the nonlinear system dynamics. In this way it...

Genetic Algorithms have been used from 1989 for both Neural Network training and design. Nevertheless, the use of a Genetic Algorithm for adjusting the Neural Network parameters can still be engaging. This work presents the study and validation of a different approach to this matter by introducing a Genetic Algorithm designed for Neural Network tra...

This work presents a neuro-genetic control scheme for a R 3 workspace application. The solution is based on a Multi Objective Genetic Algorithm reference generator and an Adaptive Predictive Neural Network Controller. Crane position control is presented as an application of the proposed control scheme.

This work presents a hybridized neuro-genetic control solution for R3 , workspace application. The solution is based on a multi-objective genetic algorithm reference generator and an adaptive predictive neural network strategy. The trajectory calculation between two points in an R3 workspace is a complex optimization problem considering the fact th...

This work presents a solution to solve industrial cranes kinematic control problem also called automatic travel control (ATC) [10]. Aspects such as optimal trajectory reference calculation considering: process cycle time and distance travelled minimization, improvements in mechanical transmission systems useful life, prohibited areas and obstacles...

Durante las dos últimas décadas, los Algoritmos Genéticos han demostrado ser una herramienta poderosa para ayudar en el diseño de Redes Neuronales Artificiales. Sin embargo, aún es pronto como para poder ser considerado un campo maduro. La revisión de los trabajos realizada en este artículo deja patente la utilidad de los métodos evolutivos, pero t...

Using conventional control techniques, such as, root locus or frequency response approach for designing controllers goes years. Recently, intelligent way for controllers design relies on usages of soft computing components, e.g., artificial neural networks, ...

The paper studies the performances that a gateway between the standard architectures MAP and PROFIBUS, defined for manufacturing environments, should offer and analyses the main aspects to be followed on its design. In particular, the cell level network SINEC H1 and the fieldbus SINEC L2 from Siemens manufacturer have been selected as a possible pl...

This work deals with the use of fuzzy logic techniques in order to include heuristic knowledge about the system under study into a supervisor module. The goal of the supervisor is to track the system operation between different states (such as different operation points, operation under hard nonlinearities, restricted zones, etc.). As the design is...

This paper proposes new control techniques for non-linear systems introducing heuristics in order to improve performance of classical controllers. The heuristics is implemented by means of a rule-based supervisor and a fuzzy controller. The system operation is divided into a set of so called ‘states’ then the supervisor detects a system state chang...

This work deals with the introduction of heuristics on the design of digital control systems, so as to combine rule-based techniques with conventional control methods. The heuristics is implemented by means of a rulebased supervisor designed from the expert knowledge about the process. From the expert knowledge about the process it is possible to d...

A software structure which allows the student to implement digital control algorithms and to test them in a short time is presented. The software package, developed by the Control and Integration Group at the Escuela de Ingenieros de Bilbao, allows process monitoring and off-line data processing. This program can be used not only as a real time con...

The paper presents an integrated software package for supervisory process control using ADA language. This system performs process control using classical and heuristic controllers, supervision in order to detect abnormal situations and on-line monitoring. Using ADA language, the definition of the different processes (control, supervision and monit...

Resumen La capacidad de los Algoritmos Genéticos (AG´s) para resolver problemas difíciles de tratar mediante otras técnicas, permite abordar un problema de optimización con múltiples restricciones y un espacio de búsqueda muy extenso, como el que aparece en el problema de la asignación de docencia en el ámbito universitario. Se diseña un AG a la me...

This paper presents a methodology for hierarchical process modelling. One of its main goals is the re-use of generic components of the model at each level of the hierarchy. This reuse can be performed in the own model, but also in other application domains. To illustrate the methodology, a case study, an industrial application of a Heat Treatment L...