Results 61 to 70 of about 25,372,776 (322)
Water Resources ResearchVegetation interception is a vital ecohydrological process, and the interception capacity is a key parameter to many classical interception models. However, current canopy interception capacity estimation methods largely depend on measured interception ...
Zixi Li +3 more
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Observer‐Based Adaptive Event‐Triggered Tracking Control for Fuzzy TS Systems With Premise Mismatch
International Journal of Adaptive Control and Signal Processing, EarlyView.This paper presents an adaptive logistic event‐triggered observer‐based tracking controller for Takagi‐Sugeno fuzzy systems under constrained inputs and network delays. Leveraging a hybrid LMI and Secretary Bird Optimization approach, this strategy significantly minimizes communication overhead and computational burden while ensuring optimal reference ...
Oussama Djadane +3 more
wiley +1 more source
A tractable closed form approximation of the ergodic rate in Poisson cellular networks
EURASIP Journal on Wireless Communications and Networking, 2019 The employment of stochastic geometry for the analysis and design of ultra dense networks (UDNs) has provided significant insights into network densification.
Alexis I. Aravanis +4 more
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An optimal capacity allocation method for integrated energy systems considering uncertainty
AIP Advances, 2023 The randomness and fluctuation of wind power output will cause certain waste in capacity allocation of integrated energy system. Therefore, a robust chance constrained optimization model is proposed to solve the shortcomings of the traditional model in ...
Yuliang Zhang, Jianguo Zhang, Yujie Chen
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On the Uplink Secrecy Capacity Analysis in D2D-Enabled Cellular Network
IEEE Systems Journal, 2018 Recent research prove that device-to-device (D2D) communications offer substantial gain through enhancing throughput and spectral efficiency as well as widening coverage area of cellular network.
Yohannes Jote Tolossa +3 more
semanticscholar +1 more source
dynoGP: Deep Gaussian Processes for Dynamic System Identification
International Journal of Adaptive Control and Signal Processing, EarlyView.This work introduces a novel class of deep models for system identification, dynamical deep Gaussian processes, which combine the strengths of data‐driven methods, such as those based on neural network architectures, with the ability to output a probability distribution for uncertainty representation.
Alessio Benavoli +3 more
wiley +1 more source
Digital Communications and NetworksAs commercial mega-constellations such as SpaceX’s Starlink and Amazon’s Kuiper system rapidly expand, traditional Tracking, Telemetry, and Command (TT&C) architectures encounter unprecedented scalability challenges.
Xiaoran Jiang, Yafeng Zhan, Jianhua Lu
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Polish Maritime Research, 2019 This work deals with the reliability assessment of a tanker ship hull structure subjected to a vertical bending moment and corrosion degradation. The progressive collapse and ultimate load carrying capacity are estimated based on experimentally tested ...
Woloszyk Krzysztof, Garbatov Yordan
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Energies, 2020 The benefits and risks associated with Volt-Var Curve (VVC) control for management of voltages in electric feeders with distributed, roof-top photovoltaic (PV) can be defined using a stochastic hosting capacity analysis methodology.
C. Birk Jones +5 more
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Advanced Engineering Materials, EarlyView.Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt +8 more
wiley +1 more source