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arXiv 2021年

作者： Li, Yushan He, Jianping Chen, Cailian Guan, Xinping Dept. of Automation Shanghai Jiao Tong University Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai Engineering Research Center of Intelligent Control and Management Shanghai China

Topology inference for network systems (NSs) plays a crucial role in many areas. This paper advocates a causality-based method based on noisy observations from a single trajectory of a NS, which is represented by the state-space model with general directed topology. Specifically, we first prove its close relationships with the ideal Granger estimator for multiple trajectories and the traditional ordinary least squares (OLS) estimator for a single trajectory. Along with this line, we analyze the non-asymptotic inference performance of the proposed method by taking the OLS estimator as a reference, covering both asymptotically and marginally stable systems. The derived convergence rates and accuracy results suggest the proposed method has better performance in addressing potentially correlated observations and achieves zero inference error asymptotically. Besides, an online/recursive version of our method is established for efficient computation or time-varying cases. Extensions on NSs with nonlinear dynamics are also discussed. Comprehensive tests corroborate the theoretical findings and comparisons with other algorithms highlight the superiority of the proposed method. Copyright © 2021, The Authors. All rights reserved.

关键词： Trajectories

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Enabling conditions for the deployment of integrated local energy communities in Europe

TechRxiv

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TechRxiv 2023年

作者： Caliano, Martina Buonanno, Amedeo Di Somma, Marialaura Graditi, Giorgio Papadimitriou, Christina Charalambous, Chrysanthos Dopierala, Przemyslaw Bronk, Leszek Dept. of Energy Technologies and Renewable Energy Sources ENEA NA Portici Italy Dept. of Energy Technologies and Renewable Energy Sources ENEA Rome Italy Eindhoven Netherlands Department of Electrical and Computer Engineering University of Cyprus FOSS Research Centre for Sustainable Energy Nicosia Cyprus Department of Control Information and Communications Instytut Energetyki – Instytut Badawczy Gdansk Poland Department of Strategy and System Development Instytut Energetyki – Instytut Badawczy Gdansk Poland

The main goal of eNeuron H2020 project (Nov 2020-Oct. 2024, ID: 957779) is to develop innovative tools for the optimal design and operation of local energy communities, integrating distributed energy resources and multiple energy carriers at different scales. This paper presents a review study of the enabling conditions for the deployment of integrated local energy communities (ILECs) in Europe, performed within the project. The enabling conditions are addressed by defining the key actors and their interests in the implementation of an energy community at local level and through a detailed mapping of the enabling and emerging energy and information and communication technologies at both household and community levels. Special focus is also on mapping of the demand-side flexibility technologies to understand the benefits of local flexibility and impacts on the larger systems. In such analysis, the key issues for implementation and adaptation of this new energy paradigm are investigated through covering technological, socio-economic, environmental, and regulatory aspects. © 2023, CC BY.

关键词： Mapping

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Online control of Affine systems in Stochastically Modeled Contexts

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IFAC-PapersOnLine 2020年第2期53卷 3354-3360页

作者： Patrick Flüs Olaf Stursberg Control and System Theory Dept. of Electrical Engineering and Computer Science University of Kassel 34121 Kassel Germany

This paper proposes an algorithm for online controller synthesis for autonomous systems with LTI dynamics considering obstacle avoidance. The obstacles are assumed to be other systems with affine probabilistic dynamics. The initial state as well as the disturbances of these systems are Gaussian distributed. To guarantee that the probability of a collision is smaller than a predefined threshold, probabilistic reachable sets are used. Due to the Gaussian distribution, the probabilistic reachability procedure can use the principles of the ellipsoidal calculus. For the autonomous system, these time-varying reachable sets of the other systems are avoided by an approach, which is based on model predictive control and successive convexification of the constraints. Due to high computational times required for the computation of probabilistic reachable sets and the convexification, different techniques to reduce the computational time significantly are also proposed.

关键词： multi-agent systems distributed control uncertain systems constrained control networked systems predictive control

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Client-server Mobile system for Diagnosis of Asynchronous Motors

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

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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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Balanced Stochastic Optimal control of Uncertain Linear systems with Constraints

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IFAC-PapersOnLine 2020年第2期53卷 7172-7178页

作者： Jannik Hahn Olaf Stursberg Control and System Theory Dept. of Electrical Engineering and Computer Science University of Kassel 34121 Kassel Germany

This paper addresses finite-time horizon optimal control for discrete-time dynamics with additional stochastic disturbances. In contrast to most existing approaches to this problem, we also minimize the uncertainty of future states arising from stochastic disturbances and from an uncertain initial state. Thus, the optimal control strategy balances the minimization of the expected distances to a reference signal, and the minimization of the uncertainty respectively. As opposed to prior work, the optimization is formulated subject to possible disturbance feedback policies. This enables to solve one semi-definite program over H steps, instead of solving H problems over one step, and the resulting reduced complexity allows one to use the scheme in online and predictive control. The proposed method is applicable to time-varying state constraints (in the sense of chance constraints) as well as time-invariant input constraints.

关键词： Stochastic optimal control disturbance rejection constrained systems robust invariance uncertain systems

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Sneak attack against mobile robotic networks under formation control

arXiv

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arXiv 2021年

作者： Liy, Yushan Hey, Jianping Dingy, Xuda Caiz, Lin Guany, Xinping Dept. of Automation Shanghai Jiao Tong University Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai China Dept. of Electrical and Computer Engineering University of Victoria VictoriaBC Canada

The security of mobile robotic networks (MRNs) has been an active research topic in recent years. This paper demonstrates that the observable interaction process of MRNs under formation control will present increasingly severe threats. Specifically, we find that an external attack robot, who has only partial observation over MRNs while not knowing the system dynamics or access, can learn the interaction rules from observations and utilize them to replace a target robot, destroying the cooperation performance of MRNs. We call this novel attack as sneak, which endows the attacker with the intelligence of learning knowledge and is hard to be tackled by traditional defense techniques. The key insight is to separately reveal the internal interaction structure within robots and the external interaction mechanism with the environment, from the coupled state evolution influenced by the model-unknown rules and unobservable part of the MRN. To address this issue, we first provide general interaction process modeling and prove the learnability of the interaction rules. Then, with the learned rules, we design an Evaluate-Cut-Restore (ECR) attack strategy considering the partial interaction structure and geometric pattern. We also establish the sufficient conditions for a successful sneak with maximum control impacts over the MRN. Extensive simulations illustrate the feasibility and effectiveness of the proposed attack. Copyright © 2021, The Authors. All rights reserved.

关键词： Robotics

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Improving the Performance of the Electric Vehicle Suspension system Using Sliding Mode controller and PID controller

Improving the Performance of the Electric Vehicle Suspension...

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Sustainable Energy and Future Electric Transportation (SEFET), International Conference on

作者： Abdussalam Ali Ahmed Hisham. F. A. Ramadhan Mustafa Emheisen Yasser Fathi Nassar Adel Oubelaid Mohit Bajaj Parvesh Saini Subhashree Choudhury Mechanical Engineering Department Bani Waleed University Bani Waleed Libya Control System Engineering College of Electronic Technology Bani Walid Libya Electrical Engineering Department Bani Waleed University Bani Waleed Libya Mechanical and Renewable Energy Eng. Dept. Wadi Alshatti University Brack Libya Laboratoire de Technologie Industrielle et de l'Information Faculté de Technologie Université de Bejaia Bejaia Algeria Department of Electrical Engineering Graphic Era (Deemed to be University) Dehradun India Department of Electrical Engineering Graphic Era Hill University Dehradun India Dept. of EEE Siksha ‘O’ Anusandhan (Deemed to be University) Bhubaneswar India

The purpose of this paper is to show how to identify and handle suspension system vibrations using two different control strategies: Sliding Mode control (SMC) and a Proportional Integral Derivative (PID) controller. A four-degree-of-freedom (4DOF) half-car suspension model is used. Suspension performance factors such as ride comfort, suspension deflection, and vehicle handling necessitate a thorough control system. This control system, which is carried out with the MATLAB application, is made up of three components: the controller, the suspension system model, and input signals (road profile and actuator force). The simulation results illustrate a comparison between the uncontrolled suspension system and the half-car active suspension system's PID and SMC controllers.

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Study of the Shock Loads Effect on the Operation of Multi-Motor Electric Drives of a Rolling Mill with a Second-order Elastic Coupling

Study of the Shock Loads Effect on the Operation of Multi-Mo...

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International Conference on Modern Electrical and Energy systems (MEES)

作者： Valerii Tytiuk Alexey Kalinin Valeriy Druzhinin Vitalii Kuznetsov Oleksii Chornyi Victor Busher Department of Electromechanics Kryvyi Rih National University Kryvyi Rih Ukraine Department of Informative Computer Systems Abylkas Saginov Karaganda Technical University NPJSC Karaganda The Republic of Kazakhstan Department of Power Engineering Karaganda Industrial University NPJSC Temirtau The Republic of Kazakhstan Department of the Electrical Engineering Ukrainian State University of Science and Technologies Dnipro Ukraine Institute of Electromechanics Energy Saving and Automatic Control Systems Kremenchuk Mykhailo Ostrogradskyi National University Kremenchuk Ukraine Dept. of Electrical Engineering and Electronics National University "Odessa Maritime Academy" Odessa Ukraine

This paper presents a study for optimizing a hot rolling mill. The paper is devoted to the study of ways to reduce the effect of shock loads of synchronous electric drives of the roughing mill group on the relative lengthening of the metal strip in the inter-stand gap of the rolling stands of the finishing mill group. The elasticity of the metal strip in the inter-stand gap of the rolling mill has a significant impact on the movement of intercoupled multi-motor electric drives of the finishing mill group. Another crucial route of exposure that influences the motion of the electric drives within the finishing mill group involves the electromagnetic connection between the drives in the roughing and finishing mill groups. The impact of the electromagnetically connected circuits is evident through the effect of shock loads from synchronous electric drives on the angular velocity of the direct current electric drives within the finishing mill group. The characteristics of the electromagnetic communication circuit are established by the power grid arrangement and equipment specifications. To assess the quality of work of electric drives of the finishing mill group, it is proposed to use the relative lengthening of the metal strip in the inter-stand gap, which is an important indirect indicator of the quality of rolling. The mathematical model of a hot rolling mill that takes into account both the elasticity of the metal strip that connects the DC electric drives of the finishing group, and the electromagnetic coupling circuit that takes into account the impact loads of synchronous electric drives of the roughing group on the example of the mill 1700 of ArcelorMittal Temirtau JSC was proposed in this paper. Using the mathematical model developed in Simulink software using the methods of planning the experiment, regression models were obtained to establish the dependence of the parameters of overexcitation of a synchronous motor on the magnitude of the voltage sag in the no

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Investigating the effect of edge modifications on networked control systems

arXiv

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arXiv 2020年

作者： Lindmark, Gustav Altafini, Claudio Division of Automatic Control Dept. of Electrical Engineering Linköping University LinköpingSE-58183 Sweden

This paper investigates the impact of addition/removal of edges in a complex networked control system, for the purposes of improving its controllability, system performances or robustness to external disturbances. The transfer function formulation we obtain allows to quantify the impact of an edge modification with the H∞ and H2 norms. For stable networks with positive edge weights, we show that the H∞ norm can be computed exactly for each possible single edge modification, as well as the associated stability margin. For the H2 norm we instead obtain a lower bound. Since this bound is linked to the trace of the controllability Gramian, it can be used for instance to reduce the energy needed for control. When instead the dynamics is of Laplacian type, then the norms become unbounded. However, the associated displacement systems are stable and for them the effect of edge modifications can be quantified. In particular, in this case we provide an upper bound on the H∞ norm and compute the exact value of the H2 norm for arbitrary edge additions. Copyright © 2020, The Authors. All rights reserved.

关键词： Complex networks

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Data-injection attacks

arXiv

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arXiv 2021年

作者： Esnaola, Iñaki Perlaza, Samir M. Sun, Ke Dept. of Automatic Control and Systems Eng. University of Sheffield United Kingdom INRIA Centre de Recherche de Sophia Antipolis-Méditerranée France Department of Electrical Engineering Princeton University United States

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