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Titlebook: Informatics in Control Automation and Robotics; Selected Papers from Juan Andrade Cetto,Jean-Louis Ferrier (Professeur) Book 2008 Springer-

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Intelligent Vehicle Systems:Applications and New Trendsal automobile has now become their initial exposure to new intelligent computational technologies such as fuzzy logic, neural networks, adaptive computing, voice recognition and others. In this chapter we will discuss the various intelligent vehicle systems that are now being deployed into motor veh
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Symbiosis of Human and Communication Robotsation robots have come into greater use as next-generation communication media by being networked with humans, PCs and ubiquitous sensors (stationary and wearable). The ”Network Robots”, a new framework for integrating ubiquitous network and robot technologies, is a step towards providing infrastruc
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What is Networked Robotics?hence is one realisation of networked robotics. A set of field robots that exploit wireless networks to share and distribute tasks might also be considered an exemplar of networked robotics. But isn’t this just an exemplar of distributed robotics? And if so, what does networked robotics bring to the
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A Multi-agent Home Automation System for Power Managementes according to user comfort and cost criteria. The system relies on a multi-agent paradigm. Each agent is embedded into a power resource or an equipment, which may be an environment (thermal-air, thermal-water, ventilation, luminous) or a service (washing, cooking), and cooperates and coordinates i
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Feature Selection for Identification of Spot Welding Processesess. Previously, good classification results of welding processes have been obtained using a feature set consisting of $54$ features extracted from current and voltage signals recorded during welding. In this study, the usability of the individual features is evaluated and various feature selection
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Neural Network Model Based on Fuzzy ARTMAP for Forecasting of Highway Traffic DataRTMAP theory. The performance of the model is measured by the deviation between the speed values provided by the loop detectors and the predicted speed values. Different Fuzzy ARTMAP configuration cases are analysed in their training and testing phases. Some ad-hoc mechanisms added to the basic Fuzz
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Automated Generation of Optimal Controllers through Model Checking Techniquese space. This methodology can be applied to systems where other approaches fail. In particular, we can consider systems with an . and .. We can also consider situations where the required control action cannot be specified as a local action, and rather a kind of . is required. Our methodology indivi
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