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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)
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)
Given the universal approximation properties, simplicity as well its intrinsic analogy to the non-linear state space form, a recurrent Elman network is derived and applied for modelling non-linear plants. Learning is implemented on-line, based on input and output data and using a truncated backpropagation through time algorithm. Regarding its structural(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 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)
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 presents a methodology for tuning the gains of fuzzy proportional-integral controllers where the concept of closed-loop control system performance is explicitly taken into account. The fuzzy controller gains are found by solving a nonlinear constrained optimization problem considering the system’s dynamics described by a nonlinear model and a set(More)
This paper focuses on online non-linear system identification via state-space neural networks. The training algorithm is based on a generalisation of the Kalman filter to non-linear systems by means of the unscented transformation. Experimental results from a laboratory heating system confirm the feasibility and effectiveness of the proposed methodology.