Determinantes da estrutura de capital das empresas familiares portuguesas

Dissertação de mest., Finanças Empresariais, Faculdade de Economia, Univ. do Algarve, 2003

Desenvolvimento de um modelo conceptual para monitorização de planos regionais de ordenamento do território: aplicação à região do Algarve

Dissertação de mest., Engenharia do Ambiente, Faculdade de Ciências e Tecnologia, Universidade do Algarve, 2010

Paralelização automática de algoritmos matriciais

Tese de dout., Engenharia Electrónica e Computação, Faculdade de Ciências e Tecnologia, Univ. do Algarve, 2003

Modelação e simulação nas lagoas de Quiaios

Tese de dout., Ciências e Tecnologias do Ambiente (Modelação Ambiental), Univ. do Algarve, 1999

Utilização racional de energia em unidades hoteleiras: casos algarvios

Dissertação de mest., Ciências Económicas e Empresariais, Faculdade de Economia, Univ. do Algarve, 2002

Avaliação da inclusão de EVOCOL em dietas formuladas para juvenis de Linguado (Solea senegalensis, Kaup 1858)

Dissertação de mest., Biologia Marinha, Faculdade de Ciências do Mar e do Ambiente, Univ. do Algarve, 2010

A avaliação do risco de crédito bancário nas empresas do sector da construção

Dissertação de mest., Finanças Empresariais, Faculdade de Economia, Universidade do Algarve, 2005

Remote data acquisition system of environmental data

The implementation of an accurate and reliable data acquisition system is the first step to develope a good control system. This data acquisition should provide valuable data readings, not only for control purposes but also for applications in different research areas.

Temperature, pH, and conductivity control of the nutrient solution of an hydroponic greenhouse

One of the aspects of modern agriculture is characterised by a culture without soil (hydroponic cultures). These culture techniques are identified by possessing automatic control systems to control the nutrient solution. In first hydroponic cultures this control was accomplished by “on- off” analog controllers that applied a single control law implemented in hardware. Therefore, the changes of the control law resulted in the change of all interface electronics. In digital control implemented by micro-controllers the alteration of such control law is easily performed by changing only a computer program, leaving untouched all the interface hardware. In this way, the use and substitution of the control strategy is improved, as well, the use of advanced control strategies.

Comparison of on-line learning algorithms for RBF models in greenhouse environmental control problems

The problem with the adequacy of radial basis function neural networks to model the inside air temperature as a function of the outside air temperature and solar radiation, and the inside relative humidity in an hydroponic greenhouse is addressed.

Real-time data acquisition system for the Identification of dynamic temperature models in a hydroponic greenhouse

A real-time data acquisition and identification system implemented in a soil-less greenhouse located in the south of Portugal is described. The system performs real-time data acquisition from a set of sensors connected to a data logger.

New methods for PID autotuning

In this paper a recent approach for PID autotuning, involving neural networks, is ferther developed. To make this approach adaptive, optimal PID values must be known on-line. In this paper neural network models of tuning criteria, together with the use of genetic algorithms, are proposed to solve this problem.

Dynamic temperature models of a soiless greenhouse

In this paper climate discrete-time dynamic models for the inside air temperature of a soilless greenhouse are identified, using data acquired during two different periods of the year. These models employ data from air temperature and relative humidity.

Training multilayer perceptrons - an optimization perspective

Multilayer perceptrons (MLPs) (1) are the most common artificial neural networks employed in a large field of applications. In control and signal processing applications, MLPs are mainly used as nonlinear mapping approximators. The most common training algorithm used with MLPs is the error back-propagation (BP) alg. (1).

Um modelo em simulink para sintonia automática de controladores PID usando redes neuronais

The PID controllers are widely used in industry. Whether because the plant is time-varying, or because of components ageing, these controllers need to be regularly retuned. During the last years, several methods have been proposed for PID autotuning.