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arXiv 2023年

作者： Philipp, Friedrich Schaller, Manuel Worthmann, Karl Peitz, Sebastian Nüske, Feliks Technische Universität Ilmenau Optimization-Based Control Group Institute for Mathematics Ilmenau Germany Optimization-Based Control Group Institute of Mathematics Technische Universität Ilmenau Ilmenau Germany Paderborn University Department of Computer Science Data Science for Engineering Germany Max Planck Institute for Dynamics of Complex Technical Systems Magdeburg Germany Department of Mathematics and Computer Science Freie Universität Berlin Germany

Extended Dynamic Mode Decomposition (EDMD) is a popular data-driven method to approximate the Koopman operator for deterministic and stochastic (control) systems. This operator is linear and encompasses full information on the (expected stochastic) dynamics. In this paper, we analyze a kernel-based EDMD algorithm, known as kEDMD, where the dictionary consists of the canonical kernel features at the data points. The latter are acquired by i.i.d. samples from a user-defined and application-driven distribution on a compact set. We prove bounds on the prediction error of the kEDMD estimator when sampling from this (not necessarily ergodic) distribution. The error analysis is further extended to control-affine systems, where the considered invariance of the Reproducing Kernel Hilbert Space is significantly less restrictive in comparison to invariance assumptions on an a-priori chosen dictionary. © 2023, CC BY.

关键词： Dynamic mode decomposition

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Implications of COVID-19 for the Electricity Industry: A Comprehensive Review

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CSEE Journal of Power and Energy systems 2020年第3期6卷 489-495页

作者： Haiwang Zhong Zhenfei Tan Yiliu He Le Xie Chongqing Kang Department of Electrical Engineering the State Key Lab of Control and Simulation of Power Systems and Generation EquipmentInstitute for National Governance and Global GovernanceTsinghua UniversityBeijing 100084China Department of Electrical and Computer Engineering Texas A&M UniversityCollege StationTX 77843 USA

As COVID-19 sweeps through the whole world,human activities have been changed *** such circumstances,the electricity sector is deeply affected and faced with great *** paper provides a comprehensive review of the impacts that the pandemic has caused on the electricity *** demand has dropped sharply as governments around the world executed lockdown restrictions,while the load composition and daily load profile have also *** share of renewable generation has increased against the decline of the total electricity *** power balance situation and increased uncertainty of demand have posed higher pressure on system operators,along with voltage violation issue and challenges for system maintenance and *** electricity market is also substantially influenced,while longterm investment in clean energy is expected to be *** externality such as emission reduction is also discussed.

关键词： COVID-19 electricity industry energy market pandemic power system

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The multi-harmonic signal frequencies estimation in finite time 13

The multi-harmonic signal frequencies estimation in finite t...

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13th Multiconference on control Problems, MCCP 2020

作者： Vediakova, A.O. Vedyakov, A.A. Pyrkin, A.A. Bobtsov, A.A. Gromov, V.S. Department of Computer Applications and Systems St. Petersburg State University 7/9 Universitetskaya nab. St. Petersburg199034 Russia Department of Control Systems and Informatics Itmo University 49 Kronverkskiy pr. St. Petersburg197101 Russia Laboratory control of Complex Systems Institute of Problems of Mechanical Engineering V.O. 61 Bolshoy pr. St. Petersburg199178 Russia

The paper presents a method to estimate the frequencies of a multi-harmonic signal in finite time. We use parameterization based on applying delay operators to a measurable signal. The result is a linear regression model with an unknown vector which depends on the signal parameters. We use Dynamic Regressor Extension and Mixing method to replace the n-th order regression model with scalar regressions. After that, we estimate the parameters separately using the standard gradient descent method. In the last step, we find algebraically the finite-time parameter estimates. The set of numerical simulations demonstrates the efficiency of the proposed approach. © Published under licence by IOP Publishing Ltd.

关键词： Frequency estimation

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Two-Degree-of-Freedom PID controller Design of Unmaned Aerial Vehicles

Two-Degree-of-Freedom PID Controller Design of Unmaned Aeria...

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2022 International Conference on control, Automation and Diagnosis, ICCAD 2022

作者： Taher Azar, Ahmad Serrano, Fernando E. Ahmad Kamal, Nashwa Al Mhdawi, Ammar K. Khamis, Alaa M. Kasim Ibraheem, Ibraheem Humaidi, Amjad J. Ben Njima, Chakib Prince Sultan University College of Computer & Information Sciences Riyadh Saudi Arabia Benha University Faculty of Computers and Artificial Intelligence Benha Egypt Instituto de Investigación en Energía Tegucigalpa11101 Honduras Cairo University Faculty of Engineering Giza Egypt Edge Hill University United Kingdom General Motors Canada OshawaL1J 6J2 Canada Dijlah University College Department of Computer Techniques Engineering Baghdad10001 Iraq University of Technology Control and Systems Engineering Department Baghdad Iraq University of Sousse Tunisia

ISBN: (数字)9781665497947

ISBN: (纸本)9781665497947

This paper shows an analysis and controller design of independent two degrees of freedom (2DOF) PID controllers for unmanned aerial vehicles. The transfer functions of system dynamics are separated into two sections: lateral and longitudinal. A transient examination of the temporal response for the lateral and longitudinal control blocks is also included in this paper when a reference input is utilized as a pilot instruction. This research also provides a robustness analysis as well as an integral square error analysis to evaluate the performance of the suggested control technique. The fundamental contribution of this research is that independent control for unmanned aerial vehicles is limited, as described in the literature. A major contribution is made because disturbances are handled. The results show that in all simulations, a suitable settling time and overshoot are reached. © 2022 IEEE.

关键词： Longitudinal control

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Convergence Analysis of the Best Response Algorithm for Time-Varying Games

arXiv

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arXiv 2023年

作者： Wang, Zifan Shen, Yi Zavlanos, Michael M. Johansson, Karl H. Division of Decision and Control Systems School of Electrical Enginnering and Computer Science KTH Royal Institute of Technology also with Digital Futures StockholmSE-10044 Sweden the Department of Mechanical Engineering and Materials Science Duke University DurhamNC United States

— This paper studies a class of strongly monotone games involving non-cooperative agents that optimize their own time-varying cost functions. We assume that the agents can observe other agents’ historical actions and choose actions that best respond to other agents’ previous actions;we call this a best response scheme. We start by analyzing the convergence rate of this best response scheme for standard time-invariant games. Specifically, we provide a sufficient condition on the strong monotonicity parameter of the time-invariant games under which the proposed best response algorithm achieves exponential convergence to the static Nash equilibrium. We further illustrate that this best response algorithm may oscillate when the proposed sufficient condition fails to hold, which indicates that this condition is tight. Next, we analyze this best response algorithm for time-varying games where the cost functions of each agent change over time. Under similar conditions as for time-invariant games, we show that the proposed best response algorithm stays asymptotically close to the evolving equilibrium. We do so by analyzing both the equilibrium tracking error and the dynamic regret. Numerical experiments on economic market problems are presented to validate our analysis. Copyright © 2023, The Authors. All rights reserved.

关键词： Cost functions

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Development of AC Voltage Stabilizer with Microcontroller-Based control System

Development of AC Voltage Stabilizer with Microcontroller-Ba...

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International computer Sciences and Information Technologies (CSIT)

作者： Andriy Holovatyy Andrzej Łukaszewicz Vasyl Teslyuk Nazariy Ripak Department of Computer-Aided Design Systems Lviv Polytechnic National University Lviv Ukraine Department of Machinery Design and Operation Faculty of Mechanical Engineering Bialystok University of Technology Bialystok Poland Department of Automated Control Systems Lviv Polytechnic National University Lviv Ukraine

ISBN: (纸本)9798350334326

In the paper, the model and prototype of the AC stabilizer have been developed based on the AVR ATmega328P microcontroller. The block diagram of the device, the electronic circuit and the algorithms of the system operation have been developed. In particular, the algorithm includes software in C in the Arduino IDE. The AC voltage stabilizer is designed using the modular principle, which makes it possible to quickly upgrade. The AC voltage stabilizer makes it possible to maintain the supply voltage on the load within acceptable limits with significant deviations, has the ability to adjust the voltage range of the network to operate the stabilizer, manual adjustment potentiometers.

关键词： Semiconductor device modeling Microcontrollers systems operation Software algorithms Prototypes Software Voltage control

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Deep Neural Network Architecture Search for Accurate Visual Pose Estimation aboard Nano-UAVs

arXiv

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arXiv 2023年

作者： Cereda, Elia Crupi, Luca Risso, Matteo Burrello, Alessio Benini, Luca Giusti, Alessandro Pagliari, Daniele Jahier Palossi, Daniele The Dalle Molle Institute for Artificial Intelligence USI SUPSI Lugano6962 Switzerland The Department of Control and Computer Engineering Politecnico di Torino Turin10129 Italy The Department of Electrical Electronic and Information Engineering University of Bologna Bologna40136 Italy The Integrated Systems Laboratory ETH Zürich Zürich8092 Switzerland

Miniaturized autonomous unmanned aerial vehicles (UAVs) are an emerging and trending topic. With their form factor as big as the palm of one hand, they can reach spots otherwise inaccessible to bigger robots and safely operate in human surroundings. The simple electronics aboard such robots (sub-100 mW) make them particularly cheap and attractive but pose significant challenges in enabling onboard sophisticated intelligence. In this work, we leverage a novel neural architecture search (NAS) technique to automatically identify several Pareto-optimal convolutional neural networks (CNNs) for a visual pose estimation task. Our work demonstrates how real-life and field-tested robotics applications can concretely leverage NAS technologies to automatically and efficiently optimize CNNs for the specific hardware constraints of small UAVs. We deploy several NAS-optimized CNNs and run them in closed-loop aboard a 27-g Crazyflie nano-UAV equipped with a parallel ultra-low power System-on-Chip. Our results improve the State-of-the-Art by reducing the in-field control error of 32% while achieving a real-time onboard inference-rate of ∼10 Hz@10 mW and ∼50 Hz@90 mW. Copyright © 2023, The Authors. All rights reserved.

关键词： Deep neural networks

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Enhanced Voltage Stability for DC Microgrids Integrating Hybrid Electric Vehicles with Virtual Inertia and Damping control

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Transportation Research Procedia 2025年 84卷 571-578页

作者： Hossam Ali Mohamed Zaery Syed Muhammad Amrr S.M. Suhail Hussain Vijay Vital Mohammad A. Abido Department of Electrical Engineering Faculty of Energy Engineering Aswan University 81528 Aswan Egypt School of Electrical Computer and Energy Engineering Arizona State University Tempe AZ 85281 USA K.A.CARE Energy Research & Innovation Center King Fahd University of Petroleum and Minerals (KFUPM) Dhahran 31261 Saudi Arabia Control & Instrumentation Engineering Department KFUPM Dhahran 31261 Saudi Arabia Interdisciplinary Research Center for Sustainable Energy Systems KFUPM Dhahran 31261 Saudi Arabia Electrical Engineering Department King Fahd University of Petroleum and Minerals Dhahran 31261 Saudi Arabia SDAIA-KFUPM Joint Research Center for Artificial Intelligence KFUPM Dhahran 31261 Saudi Arabia

DC microgrids (MGs) have experienced swift growth, driven by the expanding integration of energy storage devices(ESD), renewable energy sources (RESs), and localized loads. However, it suffers from insufficient inertia owing to less rotating mass sources, which can lead to poor voltage stability. This paper introduces a control method that emulates both inertia and damping to mitigate fluctuations in DC voltage, enhance system stability, and address the low inertia concern. The proposed virtual inertia and damping (VID) control system is adopted through using hybrid electric vehicle (HEV). The suggested HEV comprises three power sources: a battery, a fuel cell (FC), and a supercapacitor (SC). In this setup, both the battery and the FC are employed to supply virtual damping owing to their high-energy density, and the SC is utilized to support virtual inertial characteristics due to its high-power density. Through this approach, enhancements in the DC voltage stability of an islanded DC MG can be achieved. Simulations demonstrate that the proposed control system significantly outperforms existing works utilizing virtual inertia (VI) based on an EV’s battery only, as well as over systems lacking VI. The proposed control system effectively reduces voltage fluctuations and improves system stability, specifically in terms of the rate of change of voltage (ROCOV) and accelerated settling time.

关键词： Voltage Stability DC Microgrids Virtual Inertia Damping Hybrid Electric Vehicle Renewable Energy Sources

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A Sample-Based Algorithm for Approximately Testing r-Robustness of a Digraph

A Sample-Based Algorithm for Approximately Testing r-Robustn...

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IEEE Conference on Decision and control

作者： Yuhao Yi Yuan Wang Xingkang He Stacy Patterson Karl H. Johansson Division of Decision and Control Systems School of Electrical Engineering and Computer Science KTH Royal Institute of Technology Digital Futures Stockholm Sweden Department of Electrical Engineering University of Notre Dame Notre Dame IN USA Department of Computer Science Rensselaer Polytechnic Institute Troy NY USA

ISBN: (数字)9781665467612

ISBN: (纸本)9781665467629

One of the intensely studied concepts of network robustness is r-robustness, which is a network topology property quantified by an integer r. It is required by mean subsequence reduced (MSR) algorithms and their variants to achieve resilient consensus. However, determining r-robustness is intractable for large networks. In this paper, we propose a sample-based algorithm to approximately test r-robustness of a digraph with n vertices and m edges. For a digraph with a moderate assumption on the minimum in-degree, and an error parameter 0

关键词： Network topology Approximation algorithms Robustness Testing

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Evaluation of Robustness Metrics for Defense of Machine Learning systems

Evaluation of Robustness Metrics for Defense of Machine Lear...

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International Conference on Military Communications and Information systems (ICMCIS)

作者： J. DeMarchi R. Rijken J. Melrose B. Madahar G. Fumera F. Roli E. Ledda M. Aktaş F. Kurth P. Baggenstoss B. Pelzer L. Kanestad Collaborative Engineering Systems & Aerospace Systems Information Supremacy Royal Netherlands Aerospace Centre NLR Amsterdam NLD Cyber & Information Systems Division Defence Science and Technology Laboratory Portondown GBR Department of Electrical and Electronic Engineering University of Cagliari Cagliari ITA Department of Informatics Bioengineering Robotics and Systems Engineering University of Genoa Genoa ITA Department of Computer Control and Management Engineering Sapienza University of Rome Rome ITA Defence Systems Technologies Division ASELSAN Ankara TUR Fraunhofer Institute for Communication Information Processing and Ergonomics Bonn DEU Swedish Defence Research Agency Cyber Defence and C2 Technology Division Stockholm SWE

In this paper we explore some of the potential applications of robustness criteria for machine learning (ML) systems by way of tangible “demonstrator” scenarios. In each demonstrator, ML robustness metrics are applied to real-world scenarios with military relevance, indicating how they might be used to help detect and handle possible adversarial attacks on ML systems. We conclude by sketching promising future avenues of research in order to: (1) help establish useful verification methodologies to facilitate ML robustness compliance assessment; (2) support development of ML accountability mechanisms; and (3) reliably detect, repel, and mitigate adversarial attack.

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