English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

The Portuguese Conference on Automatic Control, Controlo for short, started in 1994 and had its first edition in Lisbon. It is organized by the Portuguese Association of Automatic Control, which is the Portuguese National Member Organization of the International Federation of Automatic Control (IFAC). The conference has been organized every two years and attracts researchers and practitioners in the area of Automatic Control, in a broad sense, from universities and companies around the world, with a strong emphasis in the Portuguese, Spanish, and Brazilian community. In 2012, the 10th edition of the conference took place in Funchal, Madeira, Portugal, and received a large number of submissions and participants representing all the continents. Since the very beginning of the uprising of Artificial Neural Networks (ANN) with the remarkable milestones such as the first artificial neural network model developed by McCulloch and Pitts [1], the initial Perceptron model by Rosenblatt and Wightman [2], the limitations of the perceptron presented by Minsky and Papert [3], or the proof that ANN could be used as universal approximator by Cybenko [4], among many others, ANN have found application throughout the widest range of objectives and areas. The objectives go from fraud detection to forecasting while the areas can cover uncorrelated subjects such as the social areas or engineering. The area of Automatic Control is a natural test bed for Artificial Intelligence tools, in particular Artificial Neural Networks and Fuzzy Logic that can be used for Modeling and Control in the most diverse applications. This special issue presents a sample of the application of these tools to Modeling and Control with nine papers:

Special issue on Controlo2012: new applications of artificial neural networks in modeling and control