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IEEE Conference on Network Softwarization (NetSoft)

作者： Daniele Cacciabue Jacopo Marino Francesco Aglieco Marco Levorato Domenico Perroni Fulvio Risso Dept. of Control and Computer Engineering Politecnico di Torino Torino Italy Dept. of Computer Science University of California Irvine CA USA Links Foundation Torino Italy Italdesign Torino Italy

ISBN: (数字)9798350369588

ISBN: (纸本)9798350369595

Mobile robots suffer from inherent limitations due to the tradeoff in the amount of energy consumed by their on-board processing components, and the need to increase their operational time. On the communication side, the volatility of communication links severely hinders the ability of a mobile device to rely on computation offloading. The challenge addressed by this paper is the development of a methodology and framework to effectively migrate the location of a service from a system to another, minimizing downtime and striving to reduce any side-effects that may be perceived by the system. Solving this challenge will pave the way for more effective computation offloading solutions that can cope with the unpredictability of the edge systems. Four different approaches are compared, analyzing their performance via an empirical approach. The insights gathered from data allow the identification of the most promising solution to address the aforementioned challenge.

关键词： Switches computer architecture Benchmark testing Mobile handsets Mobile robots Business continuity

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Combining Mental States Recognition and Machine Learning for Neurorehabilitation

Combining Mental States Recognition and Machine Learning for...

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IEEE International Conference on Systems, Man and Cybernetics

作者： Tommaso Colafiglio Paolo Sorino Domenico Lofu Angela Lombardi Fedelucio Narducci Tommaso Di Noia Dept. of Electrical and Information Engineering (DEI) Politecnico di Bari Bari Italy Dept. of Computer Automatic and Management Engineering (DIAG) Sapienza Università di Roma Roma Italy

Brain-computer interfaces are widely used to control machines using Electroencephalography (EEG) signals. Several low-cost electroencephalographs are available on the market that achieves good-quality EEG signals. One of the most intriguing issues for developing biofeedback systems is classifying users' emotional states using EEG signals and Machine Learning (ML) methods. In our study, we propose a novel ML-based biofeedback tool using a BCI to detect two different users' mental states: Focus, and Relaxation. We compared several ML algorithms achieving an average accuracy on the Test Set of 0.90 by using SVM. Finally, we propose a prototype for music generation according to the classification output that could be adopted in neurorehabilitation scenarios.

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Introducing Modelling, Analysis and control of Three-Phase Electrical Systems Using Geometric Algebra

arXiv

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arXiv 2023年

作者： Velasco, Manel Zaplana, Isiah Dòria-Cerezo, Arnau Duarte, Josué Martí, Pau The Automatic Control Department Universitat Politècnica de Catalunya Barcelona Spain The Automatic Control Department Inst. of Industrial and Control Engineering Universitat Politècnica de Catalunya Barcelona Spain The Dept. of Electrical Engineering Inst. of Industrial and Control Engineering Universitat Politècnica de Catalunya Barcelona Spain

State-of-the-art techniques for modeling, analysis and control of three-phase electrical systems belong to the real-valued multi-input/multi-output (MIMO) domain, or to the complex-valued nonlinear single-input/single-output (SISO) domain. In order to complement both domains while simplifying complexity and offering new analysis and design perspectives, this paper introduces the application of geometric algebra (GA) principles to the modeling, analysis and control of three-phase electrical systems. The key contribution for the modeling part is the identification of the transformation that allows transferring real-valued linear MIMO systems into GA-valued linear SISO representations (with independence of having a balanced or unbalanced system). Closed-loop stability analysis in the new space is addressed by using intrinsic properties of GA. In addition, a recipe for designing stabilizing and decoupling GA-valued controllers is provided. Numerical examples illustrate key developments and experiments corroborate the main findings. © 2023, CC BY.

关键词： Geometry

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Recent advances in data-driven methods for degradation modelling across applications

arXiv

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arXiv 2025年

作者： Jarosz, Anna Zagorowska, Marta Baranowski, Jerzy AGH University of Krakow Dept. of Automatic Control & Robotics al. Mickiewicza 30 Krakow30-059 Poland NTNU Department of Engineering Cybernetics Trondheim7034 Norway

Understanding degradation is crucial for ensuring the longevity and performance of materials, systems, and organisms. To illustrate the similarities across applications, this article provides a review of data-based method in materials science, engineering, and medicine. The methods analyzed in this paper include regression analysis, factor analysis, cluster analysis, Markov Chain Monte Carlo, Bayesian statistics, hidden Markov models, nonparametric Bayesian modeling of time series, supervised learning, and deep learning. The review provides an overview of degradation models, referencing books and methods, and includes detailed tables highlighting the applications and insights offered in medicine, power engineering, and material science. It also discusses the classification of methods, emphasizing statistical inference, dynamic prediction, machine learning, and hybrid modeling techniques. Overall, this review enhances understanding of degradation modelling across diverse domains. © 2025, CC BY-SA.

关键词： Hybrid materials

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Effectiveness of computer-based e-Learning and Virtual Reality Training System for the Preparatory Phase of a Training on Maintenance Procedure

Effectiveness of Computer-based e-Learning and Virtual Reali...

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IEEE International Conference on Consumer Electronics (ICCE)

作者： Filippo Gabriele Pratticò Debora Di Cosmo Matteo Piviotti Giuseppe La Rosa Fabrizio Lamberti Dept. of Control and Computer Engineering Politecnico di Torino Turin Italy Leonardo S.p.a Turin Italy

This work investigates the effectiveness of two training systems based on consumer hardware technologies, a first one using computer-Based Learning (CBL) and the other exploiting Virtual Reality (VR). A user study was executed in order to compare the two training and analyze the most suitable approach for the learning of preparatory material in the context of an industrial assembly and maintenance (IMA) procedure. The results highlighted that, although trainees using VR experienced higher levels of cognitive processing and attention, the knowledge gain of CBL was comparable to that of VR for the preliminary phase training. Nonetheless, VR was still able to provide better learning gains in terms of procedural skills compared to CBL.

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Properties of singular solutions in optimal control problems under input dynamic extension

Properties of singular solutions in optimal control problems...

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IEEE Conference on Decision and control

作者： Paolo Di Giamberardino Daniela Iacoviello Dept. of Computer Control and Management Engineering Antonio Ruberti Sapienza University of Rome via Ariosto 25 Rome Italy

ISBN: (数字)9798350316339

ISBN: (纸本)9798350316346

The paper addresses the problem of optimal control design in presence of singular solutions for single input dynamics. The dynamical extension for systems obtained adding an integrator on the input is addressed and analyzed. The possibility of computing the optimal control for dynamically extended systems from the solution of the initial ones is investigated, as well as the inverse procedure. These relationships are well evidenced for the singular solutions, showing the possibility of simplifying the optimal control computation. An example is introduced to better highlight the presented results.

关键词： Optimal control Cost function

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The Second-Order Discrete-Analog Filter on Switched Capacitors with Three-Phase control

The Second-Order Discrete-Analog Filter on Switched Capacito...

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Wave Electronics and its Application in Information and Telecommunication Systems (WECONF)

作者： Darya Denisenko Dmitry Kuznetsov Yuri Ivanov Nikolay Butyrlagin Dept. of Scientific Research Don State Technical University Rostov-on-Don Russia Dept. of Automatic Control Systems Southern Federal University Rostov-on-Don Russia Dept. of Information Systems and Radio Engineering Don State Technical University Rostov-on-Don Russia

ISBN: (数字)9781665465687

ISBN: (纸本)9781665465694

A discrete-analog filter of the second order with three frequency-setting capacitors has been developed, where the electronic keys are controlled by pulse sequences that do not intersect in time. It has been shown that in the proposed filter the pole frequency can be changed by changing the capacitance of the capacitor C1. In this case, the pole attenuation depends on the resistance of the resistor R5, the transmission coefficients are changed by resistors R1 or R2, and when changing one of the parameters, all other filter parameters remain unchanged. The performance of this filter is confirmed by the results of computer modeling in the Micro-Cap environment.

关键词： Band-pass filters Resistors Resistance Time-frequency analysis Capacitors Switches Attenuation Information filters Capacitance Tuning

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Averaged Models and Analysis of a Three-Phase CSI as a Dual of a Three-Phase VSI

Averaged Models and Analysis of a Three-Phase CSI as a Dual ...

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IEEE International Conference on Industrial Technology (ICIT)

作者： Pau Boira Pujol Arnau Dòria-Cerezo Robert Griñó Inst. of Ind. and Control Engineering (IOC) Universitat Politècnica de Catalunya Barcelona Spain Dept. Electrical Engineering IOC Universitat Politècnica de Catalunya Barcelona Spain Dept. Automatic Control IOC Universitat Politècnica de Catalunya Barcelona Spain

ISBN: (数字)9798350340266

ISBN: (纸本)9798350340273

The averaged model of a current source inverter (CSI) as a voltage source inverter (VSI) dual is presented in this paper. The differential equations defining the CSI are in-troduced in matrix representation for phase-to-phase and phase-to-neutral voltages and expressed using the Clarke and Park transformations. This multiple-input, multiple-output system is studied through the transfer function matrix of the linearized model, and the results are related to original CSI dynamics. Finally, open-loop simulations using Matlab/Simulink and realtime Typhoon-HIL have been carried out to validate the models.

关键词： Analytical models Voltage source inverters Tropical cyclones Transfer functions Oscilloscopes Modulation Switches

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System Identification-informed Transparent and Explainable Machine Learning with Application to Power Consumption Forecasting

System Identification-informed Transparent and Explainable M...

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2023 International Conference on Electrical, computer, Communications and Mechatronics engineering, ICECCME 2023

作者： Wei, Hua-Liang Dept. Automatic Control and Systems Engineering The University of Sheffield Sheffield United Kingdom Energy Institute The University of Sheffield Sheffield United Kingdom Centre of Machine Intelligence The University of Sheffield Sheffield United Kingdom Centre for Signal Processing and Cpmplex Systems The University of Sheffield Sheffield United Kingdom

ISBN: (纸本)9798350322972

System identification (SysID) is the art and science of dealing with dynamic data modelling problems from systems science perspectives. It has been an active field and is still very active today, due to its wide range of applications, especially its basic principles of finding transparent, interpretable and parsimonious models for different purposes. The past decades have witnessed the explosive growth in machine learning (ML) and its applications in all areas of science and engineering. Meanwhile, there has been an increasing demand for the development of transparent, explainable and/or interpretable ML models. This paper proposes a new framework for developing System Identification-informed Transparent and Explainable MAchine Learning (SITEMAL) models. A case study, involving a real power consumption dataset, is presented to demonstrate the application of the proposed modelling framework and its performance for power consumption forecasting. © 2023 IEEE.

关键词： Electric power utilization

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An Energy-Aware Decision-Making Scheme for Mobile Robots on a Graph Map Based on Deep Reinforcement Learning

An Energy-Aware Decision-Making Scheme for Mobile Robots on ...

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International Conference on control, Automation, Robotics and Vision (ICARCV)

作者： Gabriele Gemignani Margherita Bongiorni Lorenzo Pollini Dept. of Electrical and Information Engineering DAuSy National Programme for Polytechnic of Bari Bari Italy Department of Information Engineering University of Pisa Pisa Italy University of Pisa Automatic Control University of Pisa

ISBN: (数字)9798331518493

ISBN: (纸本)9798331518509

Autonomous decision-making has always been one of the primary goals to pursue as concerns mobile robots. Researchers of this field have recently turned their attention to Deep Reinforcement Learning (DRL). This paper presents a Double Deep Q Network architecture for managing the high level decisions of a mobile robot involved in a site servicing task. We imagined a scenario where an autonomous service robot must react to alarms due to failures in its area of interest; the robot must have onboard the necessary servicing tool by resorting to a tool change station if needed, reach the area of the failure and fix it, while at the same time handling its battery status. One of the key properties, yet rarely examined, when it comes to robots' long-term independence is the energy-awareness, namely the ability of autonomously managing the charge state as a function of current and future needs. The proposed Deep Q Network training reward scheme is defined specifically to obtain an energy-aware high-level controller, by penalizing both extremely low levels of battery charge as well as unnecessary recharges. The model is numerically simulated on a graph scenario constituted of several failure and charging nodes. Results show that the trained agent always succeeds in reaching the destination without ever incurring in a complete discharge, as it promptly performs temporary stops at charging locations whenever needed.

关键词： Training Wireless communication Service robots Decision making Fault location Deep reinforcement learning Discharges (electric) Batteries Planning Mobile robots

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