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Proceedings of the IEEE Dallas Circuits and systems Workshop (DCAS)

作者： Saikat Chowdhury Arian Azizi Anoy Saha Md Asifur Rahman Mona Ghassemi Jane Lehr Department of Electrical and Computer Engineering Zero Emission Realization of Optimized Energy Systems (ZEROES) Laboratory The University of Texas at Dallas Richardson TX USA Department of Electrical and Computer Engineering University of New Mexico Albuquerque UM USA

ISBN: (数字)9798350349535

ISBN: (纸本)9798350349542

To accomplish the net zero emission target, the current fuel-based transportation sector, which is the largest greenhouse gas emitter, needs to be decarbonized. Moving towards electrified ones is a highly promising solution to reduce carbon emissions. Aviation sectors, which rely on fossil fuels and emit harmful pollutants, are also being challenged by electric and hybrid-electric propulsion systems. Fully electrifying aviation or all-electric aircraft (AEA) requires high-power density and low-system mass electric power systems (EPS) and MVDC emerges as a viable solution to address this critical need. Multilayer Multifunctional electrical Insulation (MMEI) systems can be a solution to address challenges towards higher voltages and higher density designs under aviation harsh environments. Many MMEI systems have been designed in our earlier work. However, only experimental testing can ascertain the intended MMEI systems' electrical insulation performance. This study presents an optimal approach to fabricating the flat samples of down-selected MMEI designs by a compression-molding process and is discussed in detail. For evaluating different fabrication approaches to determine the optimal one, partial discharge levels of built samples are measured and compared.

关键词： Fabrication Insulation Power cables Transportation Prototypes Nonhomogeneous media Power systems

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A Scalable Real-Time Distributed Multiagent Decision Making Algorithm with Cost 19

A Scalable Real-Time Distributed Multiagent Decision Making ...

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19th IEEE Annual Consumer Communications and Networking Conference, CCNC 2022

作者： Cotae, Paul Kang, Myong Velazquez, Alexander University of the District of Columbia Department of Electrical and Computer Engineering WashingtonDC United States Center for High Assurance Computer Systems Naval Research Laboratory WashingtonDC20375 United States

ISBN: (纸本)9781665431620

We present a distributed algorithm for a multiagent system in a collaborative setting including the cost of actions. We revise the distributed Max-Plus algorithm by presenting a new Cost Distributed Max-Plus (CD Max-Plus) algorithm by including the cost of actions in the interactions of agents, named Factored Value-MCTS-CD Max-Plus algorithm. The proposed Factored Value-MCTS-CD Max-Plus algorithm is online, anytime, distributed, and scalable in number of agents and their interactions. Our contribution is an alternative solution for solving cost Dec-POMDPs competing with the state of art methods and algorithms using MCTS and Max-Plus algorithms to exploit the locality of agent interactions for planning and acting. © 2022 IEEE.

关键词： Multi agent systems

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Decentralized and Uncoordinated Learning of Stable Matchings: A Game-Theoretic Approach

arXiv

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arXiv 2024年

作者： Etesami, S. Rasoul Srikant, R. Department of Industrial and Systems Engineering Department of Electrical and Computer Engineering Coordinated Science Laboratory University of Illinois Urbana-Champaign UrbanaIL61801 United States Department of Electrical and Computer Engineering and Coordinated Science Laboratory University of Illinois Urbana-Champaign UrbanaIL61801 United States

We consider the problem of learning stable matchings with unknown preferences in a decentralized and uncoordinated manner, where "decentralized" means that players make decisions individually without the influence of a central platform, and "uncoordinated" means that players do not need to synchronize their decisions using pre-specified rules. First, we provide a game formulation for this problem with known preferences, where the set of pure Nash equilibria (NE) coincides with the set of stable matchings, and mixed NE can be rounded to a stable matching. Then, we show that for hierarchical markets, applying the exponential weight (EXP) learning algorithm to the stable matching game achieves logarithmic regret in a fully decentralized and uncoordinated fashion. Moreover, we show that EXP converges locally and exponentially fast to a stable matching in general markets. We also introduce another decentralized and uncoordinated learning algorithm that globally converges to a stable matching with arbitrarily high probability. Finally, we provide stronger feedback conditions under which it is possible to drive the market faster toward an approximate stable matching. Our proposed game-theoretic framework bridges the discrete problem of learning stable matchings with the problem of learning NE in continuous-action games. Copyright © 2024, The Authors. All rights reserved.

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Fabrication of MVDC multilayer insulation systems as flat samples for wide-body all-electric aircraft

Fabrication of MVDC multilayer insulation systems as flat sa...

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IEEE Texas Power and Energy Conference (TPEC)

作者： Arian Azizi Anoy Saha Md Asifur Rahman Mona Ghassemi Jane Lehr Zero Emission Realization of Optimized Energy Systems (ZEROES) Laboratory Department of Electrical and Computer Engineering The University of Texas at Dallas Richardson TX USA Department of Electrical and Computer Engineering University of New Mexico Albuquerque UM USA

To fulfill the net zero emission goal, transportation sector, as the largest source of greenhouse gas (GHG) emissions in the United States, must be decarbonized. Electrification is regarded as one of the most promising approaches to decarbonizing transportation. Due to its annual growth, the aviation industry has also been targeted to be decarbonized. Fully electrification of aviation or all-electric aircraft (AEA) requires high power density and low system mass electric power systems (EPS), and to this end, moving towards MVDC is preferred. In our previous work, numerous Multilayer Multifunctional electrical Insulation (MMEI) systems have been designed. However, the dielectric strength and time-to-failure of the designed MMEI systems can only be determined by experimental tests. In this paper, the process of fabricating flat samples of down-selected MMEI designs by a compressionmolding process is discussed in detail.

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Efficient Frameworks for EEG Epileptic Seizure Detection and Prediction

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Annals of Data Science 2022年第2期9卷 393-428页

作者： Emara, Heba M. Elwekeil, Mohamed Taha, Taha E. El-Fishawy, Adel S. El-Rabaie, El-Sayed M. El-Shafai, Walid El Banby, Ghada M. Alotaiby, Turky Alshebeili, Saleh A. Abd El-Samie, Fathi E. Department of Electronics and Electrical Communications Engineering Faculty of Electronic Engineering Menoufia University Menouf32952 Egypt Security Engineering Laboratory Department of Computer Science Prince Sultan University Riyadh11586 Saudi Arabia Department of Industrial Electronics and Control Engineering Faculty of Electronic Engineering Menoufia University Menouf32952 Egypt KACST Riyadh Saudi Arabia King Saud University Riyadh Saudi Arabia Department of Electrical Engineering King Saud University Riyadh11421 Saudi Arabia Department of Information Technology College of Computer and Information Sciences Princess Nourah Bint Abdulrahman University Riyadh21974 Saudi Arabia

Seizure detection and prediction are a very hot topics in medical signal processing due to their importance in automatic medical diagnosis. This paper presents three efficient frameworks for applications related to electroencephalogram (EEG) signal processing. The first one is an automatic seizure detection framework based on the utilization of scale-invariant feature transform (SIFT) as an extraction tool. The second one depends on the utilization of the fast Fourier transform (FFT) and an artificial neural network for epileptic seizure prediction. Finally, an automated patient-specific framework for channel selection and seizure prediction is presented based on FFT. The simulation results show the success of the proposed frameworks for automated medical diagnosis. © 2021, Springer-Verlag GmbH Germany, part of Springer Nature.

关键词： Fast Fourier transforms

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Fabrication Optimization and PD Characteristics of MVDC Multilayer Insulation Cable systems for Envisaged Wide-Body All-Electric Aircraft

Fabrication Optimization and PD Characteristics of MVDC Mult...

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IEEE Kansas Power and Energy Conference

作者： Md Asifur Rahman Anoy Saha Mona Ghassemi Jane Lehr Department of Electrical and Computer Engineering Zero Emission Realization of Optimized Energy Systems (ZEROES) Laboratory The University of Texas at Dallas Richardson TX USA Department of Electrical and Computer Engineering University of New Mexico Albuquerque UM USA

ISBN: (数字)9798350372403

ISBN: (纸本)9798350372410

Electrifying the aviation sector, a key source of greenhouse gas (GHG) emissions, is critical for the United States to reach its net zero emissions target by 2050. The proposed all-electric aircraft (AEA) will need an electric power system (EPS) that offers high power density and low system mass, making medium voltage DC (MVDC) a better option than existing low voltage systems. The design and fabrication of power cables are pivotal for MVDC due to the thermal challenges the power cables face as a result of the low pressure (18.8 kPa) at a cruising altitude of wide-body passenger aircraft (12.2 km). The temperature distribution along the aircraft cable, largely determined by pressure, surface emissivity, and the shape of the surrounding surfaces, is expected to differ from that at atmospheric pressure because of the reduced heat transfer at lower pressure. In this regard, numerous designs of multilayer multifunctional electrical insulation (MMEI) systems have been presented in our earlier works and can satisfy these requirements. The optimal fabrication process of flat insulation samples of ARC-SC-T-MMEI design has been presented in our earlier work. This paper presents the optimized fabrication process of the cable configuration of ARCSC-T-MMEI design with aluminum hollow tube conductors by compression molding process.

关键词： Fabrication Temperature distribution Power cables Shape Power cable insulation Prototypes Nonhomogeneous media

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Large-signal Stability Analysis of Grid-forming Inverters with Equivalent-circuit Models

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IEEE Transactions on Energy Conversion 2025年

作者： Baeckeland, Nathan Pal, Diptak Seo, Gab-Su Johnson, Brian Dhople, Sairaj National Renewable Energy Laboratory Power Systems Engineering Center GoldenCO80401 United States Hitachi Energy Ltd United States University of Texas Chandra Family Department of Electrical and Computer Engineering AustinTX United States University of Minnesota Department of Electrical and Computer Engineering MN United States

This paper proposes an energy function-based direct method for large-signal stability assessment of grid-forming (GFM) inverters leveraging an equivalent-circuit representation of all involved control- and physical-layer dynamics. Three different primary controls, a standard inner-current outer-voltage cascaded-control architecture, output CL filter, and reference-current saturation limiting are featured in the modeling and analysis framework. A composite energy function for the GFM inverter is obtained by summing up individual energy contributions gleaned from the circuit representation. The approach can readily be generalized to different primary controls, output-filter arrangements, and current limiters since it is based on a circuit-theoretic foundation. Numerical simulations validate the efficacy of the approach in estimating the critical clearing time following a large-signal disturbance. © 1986-2012 IEEE.

关键词： Electric network analysis

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Consensus control of Leader-Following Multi-Agent systems in Directed Topology With Heterogeneous Disturbances

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IEEE/CAA Journal of Automatica Sinica 2021年第2期8卷 423-431页

作者： Qinglai Wei Xin Wang Xiangnan Zhong Naiqi Wu the State Key Laboratory for Management and Control of Complex Systems Institute of AutomationChinese Academy of SciencesBeijing 100190 the School of Artificial Intelligence University of Chinese Academy of SciencesBeijing 100049and also with Qingdao Academy of Intelligent IndustriesQingdao 266109China the Department of Computer and Electrical Engineering and Computer Science Florida Atlantic UniversityBoca Raton FL33431 USA the Institute of Systems Engineering and Collaborative Laboratory for Intelligent Science and SystemsMacao University of Science and TechnologyMacao 999078China

This paper investigates the consensus problem for linear multi-agent systems with the heterogeneous disturbances generated by the Brown *** main contribution is that a control scheme is designed to achieve the dynamic consensus for the multi-agent systems in directed topology interfered by stochastic *** traditional ways,the coupling weights depending on the communication structure are static.A new distributed controller is designed based on Riccati inequalities,while updating the coupling weights associated with the gain matrix by state errors between adjacent *** introducing time-varying coupling weights into this novel control law,the state errors between leader and followers asymptotically converge to the minimum value utilizing the local *** the Lyapunov directed method and It?formula,the stability of the closed-loop system with the proposed control law is *** simulation results conducted by the new and traditional schemes are presented to demonstrate the effectiveness and advantage of the developed control method.

关键词： Consensus control directed topology external disturbance multi-agent(MA)systems

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Sailing Through Point Clouds: Safe Navigation Using Point Cloud Based control Barrier Functions

arXiv

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arXiv 2024年

作者： Dai, Bolun Khorrambakht, Rooholla Krishnamurthy, Prashanth Khorrami, Farshad Control/Robotics Research Laboratory Electrical & Computer Engineering Department Tandon School of Engineering New York University BrooklynNY11201 United States

The capability to navigate safely in an unstructured environment is crucial when deploying robotic systems in real-world scenarios. Recently, control barrier function (CBF) based approaches have been highly effective in synthesizing safety-critical controllers. In this work, we propose a novel CBF-based local planner comprised of two components: Vessel and Mariner. The Vessel is a novel scaling factor based CBF formulation that synthesizes CBFs using only point cloud data. The Mariner is a CBF-based preview control framework that is used to mitigate getting stuck in spurious equilibria during navigation. To demonstrate the efficacy of our proposed approach, we first compare the proposed point cloud based CBF formulation with other point cloud based CBF formulations. Then, we demonstrate the performance of our proposed approach and its integration with global planners using experimental studies on the Unitree B1 and Unitree Go2 quadruped robots in various environments. © 2024, CC BY.

关键词： Robot programming

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On Convergence in Distribution of Stein's Unbiased Risk Hyper-parameter Estimator for Regularized System Identification 41

On Convergence in Distribution of Stein's Unbiased Risk Hype...

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第41届中国控制会议

作者： Yue Ju Tianshi Chen Biqiang Mu Lennart Ljung School of Data Science and Shenzhen Research Institute of Big Data The Chinese University of Hong Kong Key Laboratory of Systems and Control Institute of Systems ScienceAcademy of Mathematics and System ScienceChinese Academy of Sciences Division of Automatic Control Department of Electrical EngineeringLink?ping University

ISBN: (数字)9789887581536

ISBN: (纸本)9781665482561

Asymptotic theory for the regularized system identification has received increasing interests in recent *** this paper,for the finite impulse response(FIR) model and filtered white noise inputs,we show the convergence in distribution of the Stein's unbiased risk estimator(SURE) based hyper-parameter estimator and find factors that influence its convergence *** particular,we consider the ridge regression case to obtain closed-form expressions of the limit of the regression matrix and the variance of the limiting distribution of the SURE based hyper-parameter estimator,and then demonstrate their relation numerically.

关键词： Asymptotic theory Stein's unbiased risk estimator Hyper-parameter estimator Regularized system identification

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