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2014 2nd IEEE International Conference on Progress in Informatics and Computing, PIC 2014

作者： Guevara, Cesar Santos, Matilde Martin, Jose Antonio Lopez, Victoria Dep. Computer Architecture and Automatic Control Complutense University of Madrid Madrid Spain

ISBN: (纸本)9781479920334

Classification techniques based on Artificial Intelligence are computational tools that have been applied to detection of intrusions (IDS) with encouraging results. They are able to solve problems related to information security in an efficient way. The intrusion detection implies the use of huge amount of information. For this reason heuristic methodologies have been proposed. In this paper, decision trees, Naive Bayes, and supervised classifying systems UCS, are combined to improve the performance of a classifier. In order to validate the system, a scenario based on real data of the NSL-KDD99 dataset is used. © 2014 IEEE.

关键词： Decision trees

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Model correction mechanishm for nonlinear time variant systems as support to predictive control strategies 19

Model correction mechanishm for nonlinear time variant syste...

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19th IFAC World Congress on International Federation of automatic control, IFAC 2014

作者： Pérez-Castro, A. Sánchez, J. Guzmán, J.L. Dep. of Computer Science and Automatic Control National Distance Education University Madrid Spain Dep. of Computer Science University of Almería Almería Spain

ISBN: (纸本)9783902823625

This work presents a strategy to estimate and to correct dynamics variations in nonlinear time variant systems. This correction is carried out by estimating the internal parameters of the process and determining the differences with an available nonlinear model of the system. The proposed approach has a double functionality;on the one hand, it allows a better performance of using nonlinear models for control purposes, like for nonlinear predictive controllers;and on the other hand, it can be used as a diagnosis mechanism since it provides relevant information about the current state of the system. Thus, in order to use this technique with nonlinear time variant systems, a nonlinear model predictive control strategy has been used. The estimator proposed within the framework of this work is similar to the Moving Horizon Estimation strategy. Experimental results on a real tank process are presented to show the main properties of the proposed architecture. © IFAC. © Copyright IFAC 2014.

关键词： Model predictive control

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Reaching a Consensus on Access Detection by a Decision System

Reaching a Consensus on Access Detection by a Decision Syste...

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2014 IEEE International Conference on Progress in Informatics and Computing

作者： César Guevara Matilde Santos José AntonioMartín Victoria López Dep. Computer Architecture and Automatic Control Complutense University of Madrid

Classification techniques based on Artificial Intelligence are computational tools that have been applied todetection of intrusions(IDS) with encouraging results. They are able tosolve problems related toinformation security in an efficient way. The intrusion detection implies the use of huge amount of information. For this reason heuristic methodologies have been proposed. In this paper, decision trees, Naive Bayes, and supervised classifying systems UCS, are combined toimprove the performance of a classifier. In order tovalidate the system, a scenariobased on real data of the NSL-KDD99 datasetis used.

关键词： artificial intelligence heuristic methodologies intrusion detection(IDS) decision trees supervised classifying system UCS naive Bayes

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Reaching a consensus on access detection by a decision system

Reaching a consensus on access detection by a decision syste...

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IEEE International Conference on Progress in Informatics and Computing (PIC)

作者： Cesar Guevara Matilde Santos Jose Antonio Martin Victoria Lopez Dep. Computer Architecture and Automatic Control Complutense University of Madrid Madrid Spain

关键词： Intrusion detection Databases Decision trees Classification algorithms Artificial intelligence computers

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Algorithm for efficient 3D reconstruction of outdoor environments using mobile robots

Algorithm for efficient 3D reconstruction of outdoor environ...

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2011 IEEE International Conference on Robotics and Automation, ICRA 2011

作者： Fentanes, Jaime Pulido Zalama, Eduardo Gómez-García-Bermejo, Jaime CARTIF Foundation Spain Universidad de Valladolid Spain CARTIF Centro Tecnológico Dep. Of Robotics and Computer Vision Boecillo Valladolid Spain Dep. Of Systems Engineering and Automatic Control Industrial Engineering School Spain

ISBN: (纸本)9781612843865

In this paper, an algorithm for the reconstruction of an outdoor environment using a mobile robot is presented. The focus of this algorithm is making the mapping process efficient by capturing the greatest amount of information on every scan, ensuring at the same time that the overall quality of the resulting 3D model of the environment complies with the specified standards. With respect to existing approaches, the proposed approach is an innovation since there are very few information based methods for outdoor reconstruction that use resulting model quality and trajectory cost estimation as criteria for view planning. © 2011 IEEE.

关键词： Mobile robots

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Motivation and Competitive Learning in a Social Robot

Motivation and Competitive Learning in a Social Robot

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IEEE/RSJ International Conference on Intelligent Robots and Systems

作者： Dominguez, Salvador Zalama, Eduardo Garcia-Bermejo, Jaime G. Pulido, Jaime CARTIF Foundation Robotics Computer Vision and Real Time Division Boecillo Valladolid Spain University of Valladolid (Spain) Dep. of Systems Engineering and Automatic Control Industrial Engineering School Spain

ISBN: (纸本)9781424420575

This paper describes the motivation and learning subsystems of Arisco which is a mechatronic head with interactive capacity which includes high expressivity through gesturing, voice recognition, text to speech generation, visual tracking, and internet information retrieval. The general architecture is first described in the paper. Then, the learning capacity of Arisen is addressed. It learns and performs associations between different stimulus responses through several dynamic neural networks, guided by motivational drives. A number of experiments are discussed, covering stimulus competition, habituation, classical and operant conditioning.

关键词： Social robot learning interaction computer vision motivation

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Decoupled feedforward-feedback periodic event-triggered control for disturbance rejection ⁎

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IFAC-PapersOnLine 2020年第2期53卷 2708-2713页

作者： Ernesto Aranda-Escolástico María Guinaldo José Luis Guzmén Sebastián Dormido Dep. of Software and Systems Engineering UNED Dep. of Computer Sciences and Automatic Control UNED Dep. of Informatics ceiA3 CIESOL University of Almería

In this paper, feedforward and feedback controllers are studied considering decoupled periodic event-triggering mechanisms for output and disturbance sensors. Stability and robustness conditions for linear systems are obtained considering transportation delays and actuator saturation following the Lyapunov-Krasovskii procedure. A numerical example shows that the proposed control strategy reduces the communication between sensors and controller significantly, while the system performance is not deteriorated.

关键词： Event-triggered control feedforward control Lyapunov stability time delay disturbance rejection saturation

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Model correction mechanishm for nonlinear time variant systems as support to predictive control strategies

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IFAC Proceedings Volumes 2014年第3期47卷 5975-5980页

作者： A. Pérez-Castro J. Sanchez J.L. Guzman Dep. of Computer Science and Automatic Control National Distance Education University Madrid Spain Dep. of Computer Science University of Almería Almería Spain

This work presents a strategy to estimate and to correct dynamics variations in nonlinear time variant systems. This correction is carried out by estimating the internal parameters of the process and determining the differences with an available nonlinear model of the system. The proposed approach has a double functionality; on the one hand, it allows a better performance of using nonlinear models for control purposes, like for nonlinear predictive controllers; and on the other hand, it can be used as a diagnosis mechanism since it provides relevant information about the current state of the system. Thus, in order to use this technique with nonlinear time variant systems, a nonlinear model predictive control strategy has been used. The estimator proposed within the framework of this work is similar to the Moving Horizon Estimation strategy. Experimental results on a real tank process are presented to show the main properties of the proposed architecture.

关键词： Modeling Model Predictive control Nonlinear Model Predictive control System diagnosis Nonlinear time variant models Moving Horizon Estimation

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Dexterity improvement in teleoperation through computer vision based automatic correction 15th

Dexterity improvement in teleoperation through computer visi...

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15th World Congress of the International Federation of automatic control, 2002

作者： Amat, J. Casals, A. Muñoz, L. Las Heras, M. UPC / CSIC Llorens Artigas 4-6 2a pt. Barcelona08028 Spain Dep. Automatic Control and Computer Engineering Universitat Politècnica de Catalunya Spain

ISBN: (纸本)9783902661746

Robot manipulation through teleoperation requires some ability from a human operator. This requirement is stronger when the tridimensional scene is observed through a 2D monitor. This paper describes a telemanipulation aiding system based on the superposition of a position correction component to the manual orders given by the human operator, through his gestures. This correction will enable the slave arm to move quicker when it is far from the target, while moving slower and more precisely when it operates close to the target, thus, the system behaves as if an external attraction force appear around the possible objects to be manipulated. Copyright © 2002 IFAC.

关键词： computer vision

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control system design and small signal analysis of APWM resonant inverter for induction heating

Control system design and small signal analysis of APWM reso...

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2009 International Conference on Electric Power and Energy Conversion Systems, EPECS 2009

作者： Helaimi, M. Bettayeb, M. Benghanem, M. Belmadani, B. Dept. of Electrical Engineering University of Hassiba Ben Bouali Chlef Algeria Electrical and Computer Engeneering Dept. College of Engeneering University of Sharjah United Arab Emirates Dep. of Automatic Control University of Mohamed Boudhiaf-Oran Algeria

ISBN: (纸本)9789948427155

This paper proposes an asymmetrical pulse width modulation (APWM) with frequency tracking control of full bridge series resonant inverter for induction heating application. In this method, APWM is used as power regulation, and phased locked loop (PLL) is used to attain zero-voltage-switching (ZVS) over a wide load range. The complete closed loop control model is obtained using small signal analysis. The validity of the proposed control is verified by simulation results.

关键词： Induction heating

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