Výsledky vyhledávání - "eigenvalue and eigenfunctions"

Advanced Eigenvalue Tracking of Characteristic Modes Autor Safin, Eugen, Manteuffel, Dirk

“…Eigenvalue tracking is a serious issue in the calculation of characteristic modes over a wide frequency range. Two commonly used algorithms in this regard are…”
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Enhancing power system stability using a TCSC-PIDF controller with innovative multiobjective function and hybrid optimisation logic Autor Khawaja, Abdul Waheed, Kamari, Nor Azwan Mohamed, Abd Halim, Syahirah, Zulkifley, Mohd Asyraf, Ansari, Shaheer, Khalid, Khairuddin, Khalil, Muhammad Amir

“…This study aims to establish a thyristor-controlled series compensator (TCSC) equipped with a proportional integral derivative with filter (PIDF) controller by…”
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Corrections to “On the Contractivity of Plug-and-Play Operators” Autor Athalye, Chirayu D., Chaudhury, Kunal N.

“…Presents corrections to the article "On the Contractivity of Plug-and-Play Operators"…”
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Effects of NonUniform Copper Shielding Thickness on End Leakage Flux and Temperature Rise in Turbogenerators Autor Li, Yonggang, Yao, Tianyu, Liu, Yongtao, Ji, Xuan, Ma, Minghan

“…Magnetic flux leakage and excessive heating at the generator end are significant challenges in large steam turbine design. Copper shielding is an effective…”
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A Linear Algorithm for Optimization Over Directed Graphs With Geometric Convergence Autor Ran Xin, Khan, Usman A.

“…In this letter, we study distributed optimization, where a network of agents, abstracted as a directed graph, collaborates to minimize the average of locally…”
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Sum Rate Maximization for IRS-Assisted Uplink NOMA Autor Zeng, Ming, Li, Xingwang, Li, Gen, Hao, Wanming, Dobre, Octavia A.

“…An intelligent reflecting surface (IRS) consists of a large number of low-cost reflecting elements, which can steer the incident signal collaboratively by…”
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Graph Neural Networks With Convolutional ARMA Filters Autor Bianchi, Filippo Maria, Grattarola, Daniele, Livi, Lorenzo, Alippi, Cesare

“…Popular graph neural networks implement convolution operations on graphs based on polynomial spectral filters. In this paper, we propose a novel graph…”
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Independently Recurrent Neural Network (IndRNN): Building A Longer and Deeper RNN Autor Li, Shuai, Li, Wanqing, Cook, Chris, Zhu, Ce, Gao, Yanbo

“…Recurrent neural networks (RNNs) have been widely used for processing sequential data. However, RNNs are commonly difficult to train due to the well-known…”
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Multireceptive Field Graph Convolutional Networks for Machine Fault Diagnosis Autor Li, Tianfu, Zhao, Zhibin, Sun, Chuang, Yan, Ruqiang, Chen, Xuefeng

“…Deep learning (DL) based methods have swept the field of mechanical fault diagnosis, because of the powerful ability of feature representation. However, many…”
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Designing Fully Distributed Consensus Protocols for Linear Multi-Agent Systems With Directed Graphs Autor Li, Zhongkui, Wen, Guanghui, Duan, Zhisheng, Ren, Wei

“…This technical note addresses the distributed consensus protocol design problem for multi-agent systems with general linear dynamics and directed communication…”
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Semiglobal Suboptimal Output Regulation for Heterogeneous Multi-Agent Systems With Input Saturation via Adaptive Dynamic Programming Autor Wang, Bingjie, Xu, Lei, Yi, Xinlei, Jia, Yao, Yang, Tao

“…This article considers the semiglobal cooperative suboptimal output regulation problem of heterogeneous multi-agent systems with unknown agent dynamics in the…”
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CayleyNets: Graph Convolutional Neural Networks With Complex Rational Spectral Filters Autor Levie, Ron, Monti, Federico, Bresson, Xavier, Bronstein, Michael M.

“…The rise of graph-structured data such as social networks, regulatory networks, citation graphs, and functional brain networks, in combination with resounding…”
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Performance Enhancement of Parameter Estimators via Dynamic Regressor Extension and Mixing Autor Aranovskiy, Stanislav, Bobtsov, Alexey, Ortega, Romeo, Pyrkin, Anton

“…A new procedure to design parameter estimators with enhanced performance is proposed in the technical note. For classical linear regression forms, it yields a…”
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Activated Gradients for Deep Neural Networks Autor Liu, Mei, Chen, Liangming, Du, Xiaohao, Jin, Long, Shang, Mingsheng

“…Deep neural networks often suffer from poor performance or even training failure due to the ill-conditioned problem, the vanishing/exploding gradient problem,…”
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Hierarchical Consensus Hashing for Cross-Modal Retrieval Autor Sun, Yuan, Ren, Zhenwen, Hu, Peng, Peng, Dezhong, Wang, Xu

“…Cross-modal hashing (CMH) has gained much attention due to its effectiveness and efficiency in facilitating efficient retrieval between different modalities…”
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Distributed GNE Seeking Under Partial-Decision Information Over Networks via a Doubly-Augmented Operator Splitting Approach Autor Pavel, Lacra

“…We consider distributed computation of generalized Nash equilibrium (GNE) over networks, in games with shared coupling constraints. Existing methods require…”
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Distributed Continuous-Time Convex Optimization With Time-Varying Cost Functions Autor Rahili, Salar, Wei Ren

“…In this paper, a time-varying distributed convex optimization problem is studied for continuous-time multi-agent systems. The objective is to minimize the sum…”
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Event-Triggered State Observers for Sparse Sensor Noise/Attacks Autor Shoukry, Yasser, Tabuada, Paulo

“…This paper describes two algorithms for state reconstruction from sensor measurements that are corrupted with sparse, but otherwise arbitrary, "noise." These…”
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Adaptive Event-Triggered Consensus of Multiagent Systems on Directed Graphs Autor Li, Xianwei, Sun, Zhiyong, Tang, Yang, Karimi, Hamid Reza

“…This article systematically studies consensus of linear multiagent systems (MASs) on directed graphs through adaptive event-triggered control. It presents…”
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Fully Distributed Event-Triggered Protocols for Linear Multiagent Networks Autor Cheng, Bin, Li, Zhongkui

“…This paper considers the distributed event-triggered consensus problem for general linear multiagent networks. Both the leaderless and leader-follower…”
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