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Knowledge, Information and Creativity Support Systems 1

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丛书名： Advances in Intelligent Systems and Computing

1000年

作者： Susumu Kunifuji George Angelos Papadopoulos Andrzej M.J. Skulimowski Janusz Kacprzyk

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Formation control of Surface Marine Vehicles for Underwater Target Tracking Using Range Information

Formation Control of Surface Marine Vehicles for Underwater ...

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APCA International Conference on automatic control and Soft Computing (controlO)

作者： D. Moreno-Salinas N. Crasta A.M. Pascoal J. Aranda Dept. of Computer Science and Automatic Control National Distance Education University Madrid Spain Department of Electrical Engineering ISR/IST University of Lisbon Lisbon Portugal

In many of the marine applications, the availability of an accurate system to localize underwater targets using a group of surface vehicles equipped with acoustic sensors is of paramount importance. In this context, the surface vehicles must keep a well-defined formation with respect to the targets so as to maximize the range-based information available for target localization. In this paper, a target position estimation algorithm together with a simple formation control law to maintain an optimal configuration that maximizes range-related information for target localization and tracking are presented. The setup studied consists of a group of surface vehicles moving in formation and a target performing a predefined mission. The optimal formation is computed by maximizing the determinant of an appropriately defined Fisher information matrix (FIM), subject to inter-vehicle collision avoidance and vehicle manoeuvring constraints. A centralized approach for the formation control is considered, where the trajectory planning is carried out by a supervisor that computes the control actions for each agent. The formation control is complemented with a collision avoidance logic based on a discrete event law. Simulations show that this strategy leads to an interesting and well defined behavior of the formation for localization and tracking.

关键词： Target tracking Collision avoidance Robot sensing systems Estimation Position measurement Mobile robots

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Automated Assessment of Medical Rehabilitation of Gait by Means of Video Processing in Cloud Environment

Automated Assessment of Medical Rehabilitation of Gait by Me...

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E-Health and Bioengineering Conference (EHB)

作者： Elena-Claudia Maftei Otilia Zvorişteanu Hariton-Nicolae Costin Silviu Bejinariu Florin Rotaru Vasile Manta Ramona Luca Dept. of Computer Science and Engineering Faculty of Automatic Control and Computer Engineering “Gheorghe Asachi” Technical University of Iaşi Institute of Computer Science Romanian Academy Iaşi Branch Iaşi Romania

ISBN: (数字)9798331532147

ISBN: (纸本)9798331532154

Human gait analysis provides qualitative and quantitative information concerning different characteristics of walking of a certain person. Cloud computing proves to be a modern and valuable technology when dealing with data scalability, security and efficiency of processing and storage. Also, this paradigm has some key-benefits like real-time data sharing, fast computation as well as collaborative research. The applications gamut which uses cloud computing is getting bigger and bigger, and healthcare sector is an important domain in this respect. Our approach proposed a cloud-based service designed for the automated assessment of medical rehabilitation of human gait by using video processing. We have chosen this processing technology because it is marker-less, allows fast computation and offers a very good precision of the gait analysis. Cloud computing approach proved to be encouraging and underscores remarkable advantages in comparison with traditional on-site video processing. In this way the patient, after a short training session, can himself/herself make tests and assessments of his/her mobility status, avoiding many consultations of medical or kineto-therapeutic staff.

关键词： Legged locomotion Training Cloud computing Scalability Medical services Gain measurement People with disabilities Real-time systems Security Personnel

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Inexpensive robot for experimental validation of planning and control algorithms

Inexpensive robot for experimental validation of planning an...

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International Conference on System Theory, control, and Computing (ICSTCC)

作者： José Lamarca Marius Kloetzer Cristian Mahulea Dept. of Computer Science and Systems Engineering University of Zaragoza Spain Dept. of Automatic Control and Applied Informatics Technical University of Iasi Romania Aragón Institute for Engineering Research University of Zaragoza Spain

ISBN: (纸本)9781509027217

This paper describes the structure of a mobile robot suitable for laboratory experiments. The robot is developed with the ideas of minimizing the production costs and of executing motion commands received from an external computer that runs the (possible computational intensive) planning algorithms. The proposed system is a differential wheeled robot built based on an Arduino platform, it has a small physical size and it is capable of wireless communication. These characteristics make it useful for validating planning algorithms for mobile robots in computer-guided laboratory experiments, while lowering the expenses required by such a setup. Moreover, in order to compensate the communication delay between the central computer and the robot, an estimation algorithm is implemented on the robot for obtaining a smoother motion.

关键词： Mobile robots Wheels computers Planning Trajectory Pins

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Nonlinear control Design for the Photovoltaic Isolated-Port architecture with Submodule Integrated Converters

Nonlinear Control Design for the Photovoltaic Isolated-Port ...

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IEEE Energy Conversion Congress and Exposition

作者： Yoash Levron Daniel Clement Dragan Maksimovic Carlos Olalla Dept. of Electrical Computer and Energy Engineering University of Colorado at Boulder Boulder CO 80309-0425 USA Dept. of Electronic Electrical and Automatic Control Engineering Universitat Rovira i Virgili Tarragona Spain

ISBN: (纸本)9781479903375

Differential power processing (DPP) isolated-port architecture with submodule integrated converters (subMICs) enables improved energy capture in photovoltaic (PV) power systems. This paper describes a control scheme for flyback subMICs operating in discontinuous conduction mode (DCM). The duty-cycle is driven in proportion to a voltage error, with no further processing, thus eliminating the need to measure or to control the current explicitly. The approach is well suited for very simple, analog PWM controller implementation, but the resulting control loops become nonlinear. The system stability is demonstrated using the Lyapunov stability theorem. Experimentally measured module-level efficiency is greater than 95% for a 72-cell PV module having 3 substrings with solar irradiation of 80%, 60% and 40%, respectively.

关键词： respectively stability substrings submodule PHOTOVOLTAIC substring voltage error design control Converters Energy capture control ring System stability solar radiation Solar Irradiance nonlinear control Lyapunov methods Building construction architecture

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A Comparison of Optimal Iterative Learning control Schemes

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IFAC Proceedings Volumes 2001年第14期34卷 77-82页

作者： M. Rzewuski E. Rogers D.H. Owens Dept. of Electronics and Computer Science University of Southampton Southampton SO17 IBJ UK Department of Automatic Control and Systems Engineering University of Sheffield Sheffield S1 3JD UK

Recent years has seen much progress in the theory and application of iterative learning control schemes for both linear and (classes of) nonlinear dynamics. In the case of the former, many algorithms based on minimizing a suitable cost function have been reported. Here the interest is in the so-called norm optimal approach where the basic philosophy is to compute the control input on the current trial such that the tracking error is reduced in an optimal way without too much deviation from the control input used on the previous trial. This paper compares the performance of a range of controllers arising from use of the norm optimal approach - both stand alone and against alternatives.

关键词： iterative learning control optimal algorithms

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Current-stress reduction of the neutral inductor in a rectifier with two outputs

Current-stress reduction of the neutral inductor in a rectif...

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IEEE Energy Conversion Congress and Exposition

作者： Wenlong Ming Qing-Chang Zhong Dept. of Automatic Control and Systems Engineering The University of Sheffield Sheffield S1 3JD UK Dept. of Electrical and Computer Engineering Illinois Institute of Technology Chicago IL 60616 USA

ISBN: (纸本)9781509007387

In this paper, a recently-reported single-phase rectifier with two outputs (RECTO) is further improved to reduce the current stress of the neutral inductor in the rectifier. The reduction is achieved by moving the neutral inductor away from the path of the grid current. As a result, the inductor only carries the differential current of the dual loads. Since the maximum value of the differential current is much smaller than that of the grid current, the current stress of the neutral inductor can be significantly reduced, and the size of the inductor becomes much smaller, which helps improve the power density of the RECTO. In theory, the current stress can be reduced by at least three times and the inductor size by at least nine times. It is worth noting that the current stress of the switches and the other features of the RECTO, e.g., operation principles, independent DC outputs and unity power factor, are not affected. Comparative experimental results are presented to demonstrate the reduction.

关键词： Inductors Legged locomotion Stress Capacitors Voltage control Reactive power Integrated circuit modeling inductors Biped locomotion integrated circuit modelling Voltage regulation Reactive power Capacitors Rectifiers differential current Stress (mechanics) Stressing

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EEG Multi-Objective Feature Selection Using Temporal Extension

EEG Multi-Objective Feature Selection Using Temporal Extensi...

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IEEE International Conference on Intelligent computer Communication and Processing (ICCP)

作者： Lavinia Ferariu Corina Cîmpanu Tiberius Dumitriu Florina Ungureanu Dept. of Automatic Control and Appplied Informatics Gheorghe Asachi Technical University of Iaşi Iaşi Romania Dept. of Computer Engineering Gheorghe Asachi Technical University of Iaşi Iaşi Romania

Nowadays Electroencephalogram (EEG) devices allow the recording of signals that can be used to extract information necessary to identify different types of cognitive processes. In EEG classification, Feature Selection (FS) represents a pivotal phase, as these problems request the processing of a large amount of high-dimensional patterns. In this paper, FS has been solved by an embedded multi-objective genetic optimization procedure which evolves a population of potential solutions (subsets of features), subject to the simultaneous minimization of the misclassification ratio and number of selected attributes. Random Forests (RF) classifiers are adopted, due to their fast training and their compatibility with spread classes of very diverse patterns. The main contribution presented in this paper consists in introducing an inertial behavior to feature extraction. The available feature set is extended with features from previous time frames, and FS is performed on this extended set. In this context, the experimental analysis illustrates the impact of the temporal extension on FS. Additionally, two enhancements are proposed for the multi-objective optimization, to support an effective Pareto-ranking of the solutions in the expanded exploration search space. Thus, the number of trees in the embedded RF classifier is gradually increased, for reducing the computational load requested for the evaluation of the misclassification ratio, without impeding the exploration. Also, the preference for the minimization of misclassifications is set by introducing a dynamic objective function for describing the parsimony of the selected subset of attributes. The proposed FS is experimentally demonstrated on EEG data collected during mathematical tasks of gradual complexities.

关键词： Electroencephalography Feature extraction Radio frequency Encoding Task analysis Genetic algorithms Optimization

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Considerations regarding security issues impact on systems availability

Considerations regarding security issues impact on systems a...

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International Conference on Electronics, computers and Artificial Intelligence (ECAI)

作者： Emil Pricop Sanda Florentina Mihalache Nicolae Paraschiv Jaouhar Fattahi Florin Zamfir Automatic Control Computers & Electronics Department Petroleum-Gas University of Ploiesti Ploiesti Romania Dept. of Computer Science & Software Engineering Université Laval Québec Canada

control systems behavior can be analyzed taking into account a large number of parameters: performances, reliability, availability, security. Each control system presents various security vulnerabilities that affect in lower or higher measure its functioning. In this paper the authors present a method to assess the impact of security issues on the systems availability. A fuzzy model for estimating the availability of the system based on the security level and achieved availability coefficient (depending on MTBF and MTR) is developed and described. The results of the fuzzy inference system (FIS) are presented in the last section of the paper.

关键词： Security Reliability control systems Wireless sensor networks Fuzzy logic Safety Network topology

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ESC-MRAC of MIMO systems for constrained robotic motion tasks in deformable environments

ESC-MRAC of MIMO systems for constrained robotic motion task...

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European control Conference (ECC)

作者： Vasiliki Koropouli Azwirman Gusrialdi Dongheui Lee Institute of Automatic Control Engineering Technische Universität München München Germany Dept. of Electrical Engineering and Computer Science University of Central Florida USA

ISBN: (纸本)9781479947287

Performance of constrained movements in multiple directions of a workspace simultaneously and in presence of uncertainty is a great challenge for robots. Achieving such tasks by employing control policies which are fully determined a priori and do not take into account the system uncertainty can cause undesired stress on the robot end-effector or the environment and result in poor performance. Instead, a sophisticated control policy is required, which can adjust to the varying conditions of a task while taking into account the coupling of motion dynamics between different directions of movement. To this aim, in this paper, we propose a MIMO Extremum Seeking control (ESC)-Model Reference Adaptive control (MRAC) approach with the view of executing fine motion tasks in presence of uncertain task dynamics. ESC enhances robustness of the system to non-parametric uncertainties compared to single MRAC. The proposed approach ensures state tracking as well as optimization of a global state-dependent cost criterion in all directions of movement. We evaluate our approach in simulations and in a real-world robotic engraving task.

关键词： MIMO Tracking Dynamics Vectors Uncertainty Adaptation models Robots

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