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arXiv 2021年

作者： Abbas, Hossam S. Tóth, Roland Petreczky, Mihály Meskin, Nader Velni, Javad Mohammadpour Koelewijn, Patrick J.W. Institute for Electrical Engineering in Medicine University of Lübeck Germany Control Systems Group Department of Electrical Engineering Eindhoven University of Technology Netherlands France Department of Electrical Engineering College of Engineering Qatar University Qatar School of Electrical and Computer Engineering The University of Georgia GA United States Electrical Engineering Department Faculty of Engineering Assiut University Egypt

This paper introduces a systematic approach to synthesize linear parameter-varying (LPV) representations of nonlinear (NL) systems which are described by input affine state-space (SS) representations. The conversion approach results in LPV-SS representations in the observable canonical form. Based on the relative degree concept, first the SS description of a given NL representation is transformed to a normal form. In the SISO case, all nonlinearities of the original system are embedded into one NL function, which is factorized, based on a proposed algorithm, to construct an LPV representation of the original NL system. The overall procedure yields an LPV model in which the scheduling variable depends on the inputs and outputs of the system and their derivatives, achieving a practically applicable transformation of the model in case of low order derivatives. In addition, if the states of the NL model can be measured or estimated, then a modified procedure is proposed to provide LPV models scheduled by these states. Examples are included to demonstrate both approaches. © 2021, CC BY-NC-ND.

关键词： Linear systems

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Time-varying constrained proximal type dynamics in multi-agent network games

Time-varying constrained proximal type dynamics in multi-age...

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European control Conference (ECC)

作者： Carlo Cenedese Giuseppe Belgioioso Sergio Grammatico Ming Cao Jan C. Wilems Center for Systems and Control ENTEG Faculty of Science and Engineering University of Groningen The Netherlands Control System group TU Eindhoven The Netherlands Delft Center for Systems and Control TU Delft The Netherlands

ISBN: (数字)9783907144022

ISBN: (纸本)9781728188133

In this paper, we study multi-agent network games subject to affine time-varying coupling constraints and a time-varying communication network. We focus on the class of games adopting proximal dynamics and study their convergence to a persistent equilibrium. The assumptions considered to solve the problem are discussed and motivated. We develop an iterative equilibrium seeking algorithm, using only local information, that converges to a special class of game equilibria. Its derivation is motivated by several examples, showing that the original game dynamics fail to converge. Finally, we apply the designed algorithm to solve a constrained consensus problem, illustrating the theoretical results.

关键词： Games Communication networks Cost function Couplings Convergence Vehicle dynamics

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Real-time Fault Estimation for a Class of Discrete-Time Linear Parameter-Varying systems

arXiv

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arXiv 2021年

作者： van der Ploeg, Chris Silvas, Emilia van de Wouw, Nathan Esfahani, Peyman Mohajerin Department of Mechanical Engineering Eindhoven University of Technology Netherlands The Netherlands Organisation for Applied Scientific Research Integrated Vehicle Safety Group Department of Civil Environmental and Geo-Engineering University of Minnesota United States Delft Center for Systems and Control Delft University of Technology Netherlands

Estimating and detecting faults is crucial in ensuring safe and efficient automated systems. In the presence of disturbances, noise or varying system dynamics, such estimation is even more challenging. To address this challenge, this article proposes a novel filter to estimate multiple fault signals for a class of discrete-time linear parameter-varying (LPV) systems. The design of such a filter is formulated as an optimization problem and is solved recursively, while the system dynamics may vary over time. Conditions for existence and detectability of the fault are introduced and the problem is formulated and solved using the quadratic programming framework. We further propose an approximate scheme that can be arbitrarily precise while it enjoys an analytical solution, which supports real-time implementation. The method is illustrated and validated on an automated vehicle's lateral dynamics, which is a practically relevant example for LPV systems. The results show that the estimation filter can decouple unknown disturbances and known or measurable parameter variations in the dynamics while estimating the unknown fault. Copyright © 2021, The Authors. All rights reserved.

关键词： Linear systems

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Distributed control of Second-Order Multi-Agent systems:Fractional Integral Action and Consensus

Distributed Control of Second-Order Multi-Agent Systems:Frac...

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第三十九届中国控制会议

作者： Ricardo Cajo Shiquan Zhao Douglas Plaza Robain De Keyser Clara Ionescu Ghent University Research group on Dynamical Systems and Control Harbin Engineering University College of Automation Technical University of Cluj-Napoca Department of Automatic Control

This article addresses the consensus problem in multi-agent systems modeled with double-integrator dynamics under constant disturbances. Therefore, a fractional control protocol to enhance the convergence speed and robustness of the system is proposed. The communication topology of the system is represented by an undirected connected graph. In addition, the convergence of the system is analyzed with the stability boundary locus method, through which analytical expressions are deduced to ensure the stability of the agents group. Finally, an example is provided to illustrate the validity of the theoretical results.

关键词： Multi-agents Consensus problem Fractional calculus Distributed control Double-integrator dynamics

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Interaction-Aware Trajectory Prediction based on a 3D Spatio-Temporal Tensor Representation using Convolutional–Recurrent Neural Networks

Interaction-Aware Trajectory Prediction based on a 3D Spatio...

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IEEE Symposium on Intelligent Vehicle

作者： Martin Krüger Anne Stockem Novo Till Nattermann Torsten Bertram Institute of Control Theory and Systems Engineering TU Dortmund University Dortmund Germany ZF Group Düsseldorf Germany

ISBN: (数字)9781728166735

ISBN: (纸本)9781728166742

Predicting the future trajectories for all vehicles relevant to the ego vehicle is a crucial, yet unsolved challenge to master automated driving. This paper proposes a combination of two lines of research for predicting all the trajectories of a group of vehicles of arbitrary size, considering the mutual interactions possible. Treating the prediction of other vehicles as a planning task for themselves enables the application of the artificial potential field approach. Modeling the driving situation as a potential field turns the trajectory prediction problem back to its original domain - utility space. Humans generate trajectories (that should be predicted) during driving by balancing costs and rewards, which lead to a total utility. The main difficulty inherent to the potential field approach is the hard problem of parameter tuning. Therefore, it is not directly used for prediction. Instead, the potential field representation is used as input for a neural network, which predicts a distribution over trajectories based on distinct maneuvers. This allows a multi-modal prediction for each vehicle and reflects the pattern recognition character.

关键词： Trajectory Three-dimensional displays Tensors Two dimensional displays Predictive models Planning Kernel

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Evaluation of Power System Resilience Improvements in Low-Income Neighborhoods

Evaluation of Power System Resilience Improvements in Low-In...

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IEEE/PES Transmission and Distribution Conference and Exposition: Latin America

作者： Laiz Souto Surya Santoso Intelligent Systems & Control Engineering group Universitat de Girona Girona Spain The University of Texas at Austin Austin Texas

ISBN: (数字)9781728141558

ISBN: (纸本)9781728141565

This article provides an evaluation of power system resilience enhancements in low-income neighborhoods. Low-income households and communities may be subject to risks of different nature, such as natural hazards and human-made attacks, hereby considered as particular cases of high-impact, low-probability events that are highly likely to damage power grid infrastructures. Such events may result in long interruption times and lead to permanent disconnection from the grid in extreme cases, and consequently, the value of load lost may be much higher than the investment cost associated with prevention and mitigation alternatives. In this scenario, this article analyzes the value of load lost and the costs associated with installation, operation, and repair of grid components affected by extreme events to determine the benefits of different strategies for power system resilience improvements targeted at low-income neighborhoods.

关键词： Resilience Maintenance engineering Power systems Meteorology Photovoltaic systems Power system reliability Investment

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Overhead versus Underground: Designing Power Lines for Resilient, Cost-Effective Distribution Networks under Windstorms

Overhead versus Underground: Designing Power Lines for Resil...

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Resilience Week (RWS)

作者： Laiz Souto Surya Santoso Intelligent Systems & Control Engineering group Universitat de Girona Girona Spain The University of Texas at Austin Austin Texas

ISBN: (数字)9781728186931

ISBN: (纸本)9781728186948

Windstorms represent a particular class of high-impact, low-probability events that is highly likely to damage distribution poles and pull down overhead lines in vulnerable areas. As a result, when a windstorm occurs, the costs associated with damaged overhead corridors and energy not supplied may be too high. Conversely, the costs associated with the installation of underground distribution lines are expensive in comparison to overhead distribution lines and may not compensate for the penalties avoided for the loads lost. In this scenario, this article assesses the costs and risks associated with underground and overhead power lines for a resilient, cost-effective planning and operation of power distribution networks under windstorms. Thus, it calculates the accumulated costs associated with installation, operation, and repair of power distribution lines, as well as the penalties for the energy not supplied, subject to the probability of failure of individual components over time, to determine which power line setting is the most appropriate in terms of resilience and costs.

关键词： Wind speed Power distribution lines Maintenance engineering Probability Probabilistic logic Resilience Load modeling

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Exploratory Visual Analytics for the European Single Intra-Day Coupled Electricity Market

Exploratory Visual Analytics for the European Single Intra-D...

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International Conference on Smart Energy systems and Technologies (SEST)

作者： Sumeyra Demir Koen Kok Nikolaos G. Paterakis Department of Electrical Engineering Eindhoven University of Technology Eindhoven The Netherlands Monitoring & Control Systems Group TNO Groningen The Netherlands

ISBN: (数字)9781728147017

ISBN: (纸本)9781728147024

European single intra-day coupled electricity market (SIDC) trading activity has increased substantially in recent years mainly as a consequence of the increasing penetration of renewable energy production and its subsequent impact on imbalance market prices. Nonetheless, more research is needed to understand this growing market. This paper presents exploratory visual analytics tools for tradable contracts of the SIDC. The main visualisations are created from order and trade books and intended to increase our domain knowledge of the SIDC by monitoring market trends, behaviours, depth, price consensus and liquidity. Furthermore, previous contracts of SIDC volumes and balancing prices are visualised to identify trading opportunities and risks. We expect that the presented visual analytics will be useful for both practitioners and researchers seeking quick and easily implementable tools for acquiring additional market insights and developing manual or automated trading strategies.

关键词： Contracts Tools Renewable energy sources Production Visual analytics Europe

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II. The effect of axisymmetric and spatially varying equilibria and flow on mhd wave modes: Cylindrical geometry

arXiv

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arXiv 2021年

作者： Skirvin, Samuel Fedun, Viktor Silva, Suzana Verth, Gary Plasma Dynamics Group Department of Automatic Control & Systems Engineering University of Sheffield SheffieldS3 7RH United Kingdom Plasma Dynamics Group Department of Mathematics and Statistics University of Sheffield SheffieldS3 7RH United Kingdom

Magnetohydrodynamic (MHD) waves are routinely observed in the solar atmosphere. These waves are important in the context of solar physics as it is widely believed they can contribute to the energy budget of the solar atmosphere and are a prime candidate to contribute towards coronal heating. Realistic models of these waves are required representing observed configurations such that plasma properties can be determined more accurately which can not be measured directly. This work utilises a previously developed numerical technique to find permittable eigenvalues under different non-uniform equilibrium conditions in a Cartesian magnetic slab geometry. Here we investigate the properties of magnetoacoustic waves under nonuniform equilibria in a cylindrical geometry. Previously obtained analytical results are retrieved to emphasise the power and applicability of this numerical technique. Further case studies investigate the effect that a radially non-uniform plasma density and non-uniform plasma flow, modelled as a series of Gaussian profiles, has on the properties of different MHD waves. For all cases the dispersion diagrams are obtained and spatial eigenfunctions calculated which display the effects of the equilibrium inhomogeneity. It is shown that as the equilibrium non-uniformity is increased, the radial spatial eigenfunctions are affected and extra nodes introduced, similar to the previous investigation of a magnetic slab. Furthermore, azimuthal perturbations are increased with increasing inhomogeneity introducing vortical motions inside the waveguide. Finally, 2D and 3D representations of the velocity fields are shown which may be useful for observers for wave mode identification under realistic magnetic waveguides with ever increasing instrument resolution. © 2021, CC BY.

关键词： Magnetohydrodynamics

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Reverse Aperiodic Resonance in Low- to High-Dimensional Bistable systems: A Complement to Stochastic Resonance Studies in Logic Circuits

arXiv

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arXiv 2024年

作者： Shen, Mengen Yang, Jianhua Sanjuán, Miguel A.F. Chen, Huatao Wang, Zhongqiu Jiangsu Key Laboratory of Mine Mechanical and Electrical Equipment School of Mechanical and Electrical Engineering China University of Mining and Technology Jiangsu Xuzhou221116 China Nonlinear Dynamics Chaos and Complex Systems Group Departamento de Física Universidad Rey Juan Carlos Tulipán s/n Móstoles Madrid28933 Spain Division of Dynamics and Control School of Mathematics and Statistics Shandong University of Technology Zibo255000 China School of Computer Science and Technology China University of Mining and Technology Jiangsu Xuzhou221116 China

As circuits continue to miniaturize, noise has become a significant obstacle to performance optimization. Stochastic resonance in logic circuits offers an innovative approach to harness noise constructively;however, current implementations are limited to basic logical functions such as OR, AND, NOR, and NAND, restricting broader applications. This paper introduces a three-dimensional (3D) coupling model to investigate the counterintuitive phenomena that arise in nonlinear systems under noise. Compared to the one-dimensional Langevin equation and the two-dimensional Duffing equation, the 3D coupling model features more adjustable parameters and coupling interactions, enhancing the system's dynamic behavior. The study demonstrates that increasing noise intensity triggers reverse aperiodic resonance, leading to signal phase reversal and amplitude amplification. This phenomenon is attributed to the motion of Brownian particles in a bistable potential well. Additionally, reverse aperiodic resonance addresses the lack of logical negation in traditional stochastic resonance systems by introducing noise-driven phase reversal, providing a novel alternative to conventional inverters. © 2024, CC BY.

关键词： Stochastic systems

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