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Creating an Application in MATLAB to Visualize Changes in Statistical Parameters 25

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Creating an Application in MATLAB to Visualize Changes in St...

25th IEEE International Conference on Problems of Automated Electric Drive. Theory and Practice, PAEP 2020

作者： Guzan, Milan Feher, Adam Vince, Tibor Beres, Matej Kalinov, Andrii Technical University of Košice Faculty of Electrical Engineering and Informatics Department of Theoretical and Industrial Electrical Engineering Košice Slovakia Mykhailo Ostrohradskyi National University Systems of Automatic Control and Electric Drive Department Kremenchuk Ukraine

ISBN: (纸本)9781728199351

This paper points out the possibilities of using MATLAB in processing a large amount of measured data. An application created calculates and then graphically displays changes in individual statistical parameters of the measured mains voltage. Although the application works with voltage values, it can also be used for similar evaluation of changes in statistical parameters of other measured technical quantities, where the measured data are collected, which will be subsequently evaluated. © 2020 IEEE.

关键词： Data visualization

Toward a unified framework for model calibration and optimisation in virtual engineering workflows

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Toward a unified framework for model calibration and optimis...

2019 IEEE International Conference on systems, Man and Cybernetics, SMC 2019

作者： Oliver, Jones P. H. Oakley, Jeremy E. Purshouse, Robin C. University of Sheffield Department of Automatic Control and Systems Engineering United Kingdom

ISBN: (纸本)9781728145693

When designing a new product it is often advantageous to use virtual engineering as either a replacement or assistant to more traditional prototyping. Virtual engineering consists of two main stages: (i) development of the simulation model;(ii) use of the model in design optimisation. There is a vast literature on both of these stages in isolation but virtually no studies have considered them in combination. The model calibration and design optimisation processes both however, crucially, draw on the same resource budget for simulation evaluations. When evaluations are expensive, there may be advantages in treating the two stages as combined. This study lays out a joint framework by which such problems can be expressed through a unified mathematical notation. A previously published case study is reviewed within the context of this framework, and directions for further development are discussed. © 2019 IEEE.

关键词： Budget control

Client-server Mobile System for Diagnosis of Asynchronous Motors

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Client-server Mobile System for Diagnosis of Asynchronous Mo...

Advanced Technology (KhPIWeek), IEEE KhPI Week on

作者： Olha Chorna Petro Kurliak Victor Busher Oleksii Chornyi Valerii Tytiuk Iurii Zachepa Institute of Education and Science in Electrical Engineering and Information Technologies Kremenchuk Mykhailo Ostrogradskyi National University Kremenchuk Ukraine Department of Electrical power engineering electrical engineering and electromechanics Ivano-Frankivsk National Technical University of Oil and Gas Ivano-Frankivsk Ukraine Dept. of Electrical Engineering and Electronics National University “Odessa Maritime Academy” Odessa Ukraine Department of Electromechanics Kryvyi Rih National University Kryvyi Rih Ukraine Department of Systems of Automatic Control and Electric Drive Kremenchuk Mykhailo Ostrohradskyi National University Kremenchuk Ukraine

This paper presents client-server mobile system for diagnosis of asynchronous motors. The system is created as a mobile application for smartphones and tablets. The system provides processing of the measured values of the currents and voltages of the stator phases of the asynchronous motor. According to the processing results, the results of diagnostics and forecasting of the current state of asynchronous motors are calculated. The software runs on the Android OS. The main purpose is to predict the current state of AD, which has a parametric electromagnetic asymmetry of the stator phases.

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Peak Estimation of Time Delay systems Using Occupation Measures

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Peak Estimation of Time Delay Systems Using Occupation Measu...

IEEE Conference on Decision and control

作者： Jared Miller Milan Korda Victor Magron Mario Sznaier Automatic Control Laboratory (IfA) ETH Zürich Zürich Switzerland ECE Department Robust Systems Lab Northeastern University Boston MA Polynomial OPtimization Team LAAS-CNRS Toulouse France Faculty of Electrical Engineering Czech Technical University in Prague Prague Czech Republic Institut de Mathématiques de Toulouse France

This work proposes a method to compute the maximum value obtained by a state function along trajectories of a Delay Differential Equation (DDE). An example of this task is finding the maximum number of infected people in an epidemic model with a nonzero incubation period. The variables of this peak estimation problem include the stopping time and the original history (restricted to a class of admissible histories). The original nonconvex DDE peak estimation problem is approximated by an infinite-dimensional Linear Program (LP) in occupation measures, inspired by existing measure-based methods in peak estimation and optimal control. This LP is approximated from above by a sequence of Semidefinite Programs (SDPs) through the moment-Sum of Squares (SOS) hierarchy. Effectiveness of this scheme in providing peak estimates for DDEs is demonstrated with provided examples.

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FPGA Implementation of SIMON-128 Cryptographic Algorithm Using Artix-7

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arXiv 2023年

作者： Ghayoula, Ridha Fattahi, Jaouhar Smida, Amor Gmati, Issam El Pricop, Emil Ziadia, Marwa Unit of Research in High Frequency Electronic Circuits and Systems University of Tunis El Manar Tunis2092 Tunisia Department of Electrical and Computer Engineering Laval University Quebec Canada Department of Computer Science and Software Engineering Laval University Quebec Canada Department of Medical Equipment Technology College of Applied Medical Sciences Majmaah University Majmaah11952 Saudi Arabia College of Engineering Al Gunfudha Umm Al Qura University Saudi Arabia Automatic Control Computers and Electronics Department Petroleum-Gas University of Ploiesti Romania

FPGA is a hardware architecture based on a matrix of programmable and configurable logic circuits thanks to which a large number of functionalities inside the device can be modified using a hardware description language. These functionalities must often be secured especially when the context is sensitive (military, banking, medical, legal, etc.). In this paper, we put forward an efficient implementation of SIMON’s block cipher algorithm using Xilinx Vivado 2018.2. The proposed design is analyzed through simulation on Xilinx Artix-7. A prototype of our design is implemented using the xc7a35tcsg324-1 FPGA chip. Performance and results are discussed. © 2023, CC BY.

关键词： Field programmable gate arrays (FPGA)

Model-Based and Data-Driven control of Event- and Self-Triggered Discrete-Time LTI systems

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arXiv 2022年

作者： Wang, Xin Berberich, Julian Sun, Jian Wang, Gang Allgöwer, Frank Chen, Jie The Key Laboratory of Intelligent Control and Decision of Complex System Beijing Institute of Technology Beijing10081 China The Beijing Institute of Technology Chongqing Innovation Center Chongqing401120 China The University of Stuttgart Institute for Systems Theory and Automatic Control Stuttgart70550 Germany The Department of Control Science and Engineering Tongji University Shanghai201804 China The State Key Lab of Intelligent Control and Decision of Complex Systems School of Automation Beijing Institute of Technology Beijing100081 China

The present paper considers the model-based and data-driven control of unknown linear time-invariant discretetime systems under event-triggering and self-triggering transmission schemes. To this end, we begin by presenting a dynamic event-triggering scheme (ETS) based on periodic sampling, and a discrete-time looped-functional approach, through which a model-based stability condition is derived. Combining the model-based condition with a recent data-based system representation, a data-driven stability criterion in the form of linear matrix inequalities (LMIs) is established, which also offers a way of co-designing the ETS matrix and the controller. To further alleviate the sampling burden of ETS due to its continuous/periodic detection, a self-triggering scheme (STS) is developed. Leveraging pre-collected input-state data, an algorithm for predicting the next transmission instant is given, while achieving system stability. Finally, numerical simulations showcase the efficacy of ETS and STS in reducing data transmissions as well as of the proposed co-design methods. Copyright © 2022, The Authors. All rights reserved.

关键词： Linear matrix inequalities

Improving IoT Network Lifetime Through HHO-MPPT optimized Solar Energy Harvesting

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Improving IoT Network Lifetime Through HHO-MPPT optimized So...

Mechatronic systems Supervision (IW_MSS), IEEE International Workshop on

作者： Sirine Rabah Aida Zaier Jaime Lloret Hassen Dahman National Engineering School of Gabes Research Laboratory Modeling Analysis and Control of Systems (MACS- LR16ES22) National Engineering School of Tunis Innov Lab University of Carthage Tunis Tunisia Instituto de Investigacion Para la Gestion Integrada de Zonas Costeras Universitat Politecnica de Valencia Gandia Spain b-Department of Automatic and Electrical Engineering National Engineering School of Gabes a-LaPhyMNE-LR05ES14 Gabes University

The principal contribution of this study lies in creating an effective solar energy harvesting system intended to address the energy limitations experienced by batteries in Internet of Things (IoT) networks. Ideally, IoT network nodes equipped with optimized Solar Energy Harvesting systems should operate for extended periods. To achieve this goal, we propose the utilization of Maximum Power Point Tracking (MPPT) based on Harris Hawks Optimization (HHO) controllers. This strategy aims to optimize solar power extraction, consequently boosting overall system efficiency. We’ve implemented our methodology in MATLAB/Simulink and assessed its performance using a range of performance metrics. The results demonstrate the efficiency of our method, which is further substantiated through a comparative analysis with analysis with two traditional techniques. Our proposed method achieves maximum power tracking performance in photovoltaic (PV) systems in both cases of stable and variable weather conditions.

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Efficiency of higher-order algorithms for minimizing composite functions

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arXiv 2022年

作者： Nabou, Yassine Necoara, Ion Automatic Control and Systems Engineering Department National University of Science and Technology Politehnica Bucharest Spl. Independentei 313 Bucharest060042 Romania Gheorghe Mihoc-Caius Iacob Institute of Mathematical Statistics and Applied Mathematics of the Romanian Academy Bucharest050711 Romania

Composite minimization involves a collection of functions which are aggregated in a nonsmooth manner. It covers, as a particular case, smooth approximation of minimax games, minimization of max-type functions, and simple composite minimization problems, where the objective function has a nonsmooth component. We design a higher-order majorization algorithmic framework for fully composite problems (possibly nonconvex). Our framework replaces each component with a higher-order surrogate such that the corresponding error function has a higher-order Lipschitz continuous derivative. We present convergence guarantees for our method for composite optimization problems with (non)convex and (non)smooth objective function. In particular, we prove stationary point convergence guarantees for general nonconvex (possibly nonsmooth) problems and under Kurdyka-Lojasiewicz (KL) property of the objective function we derive improved rates depending on the KL parameter. For convex (possibly nonsmooth) problems we also provide sublinear convergence *** Codes Composite optimization, (non)convex minimization, higher-order methods, Kurdyka-Lojasiewicz property, convergence rates © 2022, CC BY.

关键词： Optimization

Do We Run Large-scale Multi-Robot systems on the Edge? More Evidence for Two-Phase Performance in System Size Scaling

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arXiv 2023年

作者： Kuckling, Jonas Luckey, Robin Avrutin, Viktor Vardy, Andrew Reina, Andreagiovanni Hamann, Heiko The Department of Computer and Information Science University of Konstanz Konstanz78457 Germany The Centre for the Advanced Study of Collective Behaviour University of Konstanz Germany The Institute of Computer Engineering University of Lübeck Lübeck Germany The Institute for Systems Theory and Automatic Control University of Stuttgart Stuttgart Germany The Department of Computer Science The Department of Electrical and Computer Engineering Memorial University of Newfoundland St. John's Canada IRIDIA Université Libre de Bruxelles Brussels Belgium

With increasing numbers of mobile robots arriving in real-world applications, more robots coexist in the same space, interact, and possibly collaborate. Methods to provide such systems with system size scalability are known, for example, from swarm robotics. Example strategies are self-organizing behavior, a strict decentralized approach, and limiting the robot-robot communication. Despite applying such strategies, any multi-robot system breaks above a certain critical system size (i.e., number of robots) as too many robots share a resource (e.g., space, communication channel). We provide additional evidence based on simulations, that at these critical system sizes, the system performance separates into two phases: nearly optimal and minimal performance. We speculate that in real-world applications that are configured for optimal system size, the supposedly high-performing system may actually live on borrowed time as it is on a transient to breakdown. We provide two modeling options (based on queueing theory and a population model) that may help to support this reasoning. © 2023, CC BY.

关键词： Multipurpose robots