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The GINSENG project develops performance-controlled wireless sensor networks that can be used for time-critical applications in hostile environments such as industrial plant automation and control. GINSENG aims at integrating wireless sensor networks with existing enterprise resource management solutions using a middleware. A cornerstone is the evaluation(More)
ASTRACT: Taking advantage of the recognised properties of universal approximation of neural networks, a description of a non-linear plant in the state space form is obtained by using a recurrent Elman network. Learning is implemented on-line with a truncated backpropagation through time algorithm. Based on the neural model, a predictive control strategy is(More)
The problem of order estimation and global stability in affine three-layered state-space neural networks is here addressed. An upper bound for the number of neurons to be inserted in the hidden layer is computed using a subspace technique. Some sufficient conditions for the global asymptotic stability are presented using the Lyapunov stability theory and(More)
In this paper an approach to design controllers based on principal components analysis (PCA) models is presented. Closed-loop control can be formulated and implemented within the reduced space defined by a PCA model. This PCA controller, results in an integral controller, which can be used as an inferential controller when a measurement of a primary(More)
Today's industrial facilities, such as oil refineries, chemical plants, and factories, rely on wired sensor systems to monitor and control the production processes. The deployment and maintenance of such cabled systems is expensive and inflexible. It is, therefore, desirable to replace or augment these systems using wireless technology, which requires us to(More)
— The Information and Communication Technology tools are nowadays fundamental to support e-learning and b-learning courses. is a web-based platform that allows users to perform experiments in different educational levels and contexts. This paper aims to describe its potential use in secondary education, engineering and lifelong learning courses. The(More)
This paper presents a new algorithm for segmentation and classification of S1 and S2 heart sounds without ECG reference. The proposed approach is composed of three main stages. In the first stage the fundamental heart sound lobes are identified using a fast wavelet transform and the Shannon energy. Next, these lobes are validated and classified into S1 and(More)
Wireless Sensor and Actuator Networks can be used to detect and classify ephemeral distributed events, where different process components with different behaviours are involved. Agents implementing Distributed Artificial Intelligence techniques are a key value in improving the overall system's performance. This paper proposes a general WSAN Multi-Agent(More)
— This paper intends to describe the functionalities offered by the remote and virtual control laboratory available in the Department of Informatics Engineering of the University of Coimbra (Portugal) that allows users to perform experiments in an intelligent tutoring system context. The platform and some remote and virtual real-time control experiments,(More)