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Raquel Dormido

Researcher at National University of Distance Education

Publications -  67
Citations -  780

Raquel Dormido is an academic researcher from National University of Distance Education. The author has contributed to research in topics: Control theory & Mobile robot. The author has an hindex of 15, co-authored 60 publications receiving 672 citations. Previous affiliations of Raquel Dormido include ETSI.

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Development of a Web-Based Control Laboratory for Automation Technicians: The Three-Tank System

TL;DR: A Web-based control laboratory for experimentation on a nonlinear multiple-input-multiple-output (MIMO) system: the three-tank plant is introduced and students can learn in a practical way many fundamental aspects of control processes.
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Determination of the optimal number of clusters using a spectral clustering optimization

TL;DR: A new method, called Spectral Global Silhouettes method (GS), to calculate the optimal number of clusters in a dataset using a Spectral Clustering algorithm that combines both a Silhouette Validity Index and the concept of Local Scaling is presented.
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An Integrated Virtual and Remote Control Lab: The Three-Tank System as a Case Study

TL;DR: The authors describe their virtual and remote laboratory, which uses a nonlinear system that students can run from anywhere on the Internet, which integrates both open source and commercial software tools.
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A systematic two-layer approach to develop Web-based experimentation environments for control engineering education

TL;DR: The programming techniques implemented and the design considerations that justify these particular choices are described and an example of development of a web-based application is discussed, in which an electrical drive servo-motor is introduced as a convenient setup to practice with motion control applications.
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Machine Learning Weather Soft-Sensor for Advanced Control of Wastewater Treatment Plants

TL;DR: Novel research is presented about a new soft-sensor that predicts the current weather signal in WWTP control systems, which differs from traditional weather forecasting since this soft-Sensor predicts the weather conditions as an operator does when controling the WWTP.