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20th International conference on AC and DC Power Transmission 2024, ACDC 2024

20th International Conference on AC and DC Power Transmissio...

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20th International conference on AC and DC Power Transmission 2024, ACDC 2024

ISBN: (纸本)9781837242672

the proceedings contain 256 papers. the topics discussed include: research on turn-off control strategy of novel hybrid commutated converter based on reverse blocking IGCT;multi-resolution optimization methodology of voltage and reactive power in new distribution systems;practical calculation model for short-circuit current of doubly fed induction generator in large power grids;a simple common-mode voltage reduction method for back-to-back five-level ANPC converters;the multilevel turn-off method and improved detection circuit are proposed for SiC MOSFET short-circuit;modeling and analysis of key impact mechanisms of voltage quality considering large-scale wind power grid-connected scenarios;analysis and model of high frequency harmonic impedance of grid connected DFIG wind turbines;and study on the aging characteristics of silicone rubber for ultra-high voltage indoor composite insulators.

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Adaptive Grouping Access Based on Rate-Splitting Multiple Access for Multibeam Satellite system 20

Adaptive Grouping Access Based on Rate-Splitting Multiple Ac...

引用

20th IEEE International Wireless Communications and Mobile Computing (IEEE IWCMC) - Green and Intelligent Communications

作者： Han, Shuai Li, Zhiqiang Li, Cheng Harbin Inst Technol Sch Elect & Informat Engn Harbin 150001 Peoples R China Simon Fraser Univ Sch Engn Sci Burnaby BC V5A 1S6 Canada

ISBN: (纸本)9798350361261;9798350361278

Multibeam satellite system (MSS) has become the trend because of its ability to provide seamless information services. However, co-frequency interference between beams significantly deteriorates communication performance. Existing interference management schemes regard MSS as multi-antenna systems and introduce precoding technology to eliminate interference, ignoring the characteristics of beam gain and the limited computing resources of satellites. Motivated by this, we design an adaptive grouping access scheme based on the promising rate-splitting multiple access to mitigate inter-beam interference. We initiate our discussion by formulating the weighted sum rate (WSR) maximization problems and deploying an enhanced alternating optimization strategy to navigate through these intricate non-convex issues. the efficacy and reduced complexity of our suggested approach are validated through simulation outcomes.

关键词： Multibeam satellite communication adaptive grouping access weighted sum rate rate-splitting strategy

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Noncooperative Control of Energy Communities through Learning-based Response Dynamics 20

Noncooperative Control of Energy Communities through Learnin...

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IEEE 20th International conference on Automation Science and Engineering (CASE)

作者： Noghani, Saba Askari Scarabaggio, Paolo Carli, Raffaele Dotoli, Mariagrazia Polytech Bari Dept Elect & Informat Engn Bari Italy

ISBN: (纸本)9798350358513;9798350358520

With the growing availability of data, learning-based distributed energy management is emerging as a viable and efficient alternative to traditional model-based schemes. In this context, we propose a novel game-theoretic learning-based method for the distributed control of energy communities. In particular, we consider a community that includes several prosumers equipped with a renewable energy source and an energy storage system. the scheduling of energy activities of all prosumers is formulated as a noncooperative game. Nevertheless, unlike the state-of-the-art, where an optimization problem is typically defined to model the behavior of each prosumer, we approximate each prosumer response strategy using a neural network. We propose a distributed algorithm based on the well-known Banach-Picard iteration to efficiently seek for an equilibrium of the game. Lastly, the convergence and effectiveness of the proposed approach are validated through numerical simulations under different realistic scenarios.

关键词： Renewable energy energy management optimization game theory learning-based

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Polynomial approximation of regions of attraction via occupation measures: an application to a biological autonomous system 20

Polynomial approximation of regions of attraction via occupa...

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IEEE 20th International conference on Automation Science and Engineering (CASE)

作者： De Paola, Pierluigi Francesco Borri, Alessandro Paglialonga, Alessia Palumbo, Pasquale Dabbene, Fabrizio Polytech Univ Bari Bari Italy Ist Elettron & Ingn Informaz & Telecomunicaz CNR Turin Italy Ist Anal Sistemi Informat CNR IASI Rome Italy Univ Milano Bicocca Dept Biotechnol & Biosci Milan Italy

ISBN: (纸本)9798350358513;9798350358520

In this work we analyze the problem of computing the regions of attraction of a well-acknowledged model in the framework of diabetes modeling and control, the model by Topp et al. Despite the importance of this pioneering model in the literature of mathematical models of diabetes progression, to the best of our knowledge a clear representation of the regions of attraction of specific target sets under suitable conditions appears to be lacking. We address this problem by means of a method employing moment-sum-of-squares (moment-SOS) hierarchy that we exploit to assess the validity of a general computation of the regions of attraction performed through a Monte Carlo simulation. Addressing the problem of the knowledge of certain region of attraction, this work paves the way to future research aimed at exploiting a polynomial version of diabetes progression models to leverage optimal control problem design via occupation measures and momentSOS hierarchy.

关键词： Intelligent systems

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Deep reinforcement learning trajectory planning for vibration suppression via jerk control 20

Deep reinforcement learning trajectory planning for vibratio...

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20th International conference on Ubiquitous Robots (UR)

作者： Park, Sung Gwan Rhim, Sungsoo Kyung Hee Univ Dept Mech Engn Seoul Gyeonggi Do South Korea

ISBN: (纸本)9798350335170

Vibration suppression methods using passive control, active control, and input shaping have traditionally been used. Recently, vibration suppression studies using deep reinforcement learning (DRL) controllers have been conducted. Instead of directly approaching the low-level controller variables, this paper proposes a method to generate a trajectory that reduces jerk using the output of neural networks trained with reinforcement learning (RL) with an environment where the system is complex to analyze the model and direct force input to the oscillations generated is not possible. As a result, it is possible to have easier access to vibration control using DRL in a complex system.

关键词： Cone-beam computed tomographic Deep reinforcement learning Jerk control Proximal policy optimization Trajectory planning Vibration suppression

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Reinforcement Learning-based anti-Jamming Solution for Aerial RIS-aided Dense Dynamic Multi-User Environments 20

Reinforcement Learning-based anti-Jamming Solution for Aeria...

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20th IEEE International Wireless Communications and Mobile Computing (IEEE IWCMC) - Green and Intelligent Communications

作者： Tariq, Zain Ul Abideen Baccour, Emna Erbad, Aiman Hamdi, Mounir Hamad Bin Khalifa Univ Div Informat & Comp Technol Coll Sci & Engn Doha Qatar

ISBN: (纸本)9798350361261;9798350361278

In the 5G Advanced and 6G era, wireless communication systems face security challenges, notably adversarial interference from unknown jammers in multi-user scenarios. Reconfigurable Intelligent Surfaces (RIS) present a cost-effective solution due to their low power consumption and easy deployment. Existing RIS techniques typically address simple jamming scenarios with a single static jammer, focusing on a single objective. this study introduces a multi-objective optimization approach deploying UAV-mounted RIS to counter jamming threats in wireless communications within a densely populated smart city environment. the proposed solution aims to safeguard essential services from potential disruptions caused by malicious jamming attacks during public events. We employ Proximal Policy optimization (PPO), a lightweight Deep Reinforcement Learning (DRL) technique, to concurrently optimize the trajectory of UAV and RIS passive beamforming to address computational complexity. the objectives include maximizing the average sum rate and minimizing energy consumption. Our experiments highlight the efficacy of the PPO-based strategy, demonstrating significant improvements in average sum rates and energy efficiency amid numerous mobile devices and moving jammers. Importantly, our proposed system model outperforms a baseline from related works in maximizing the sum rate and minimizing overall energy consumption.

关键词： Wireless Communications Reinforcement Learning Proximal Policy optimization PPO Jamming Anti-Jamming Reconfigurable Intelligent Surfaces RIS

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Review: A Speculative Divide-and-Conquer optimization Method for Large Analog/Mixed-Signal Circuits 20

Review: A Speculative Divide-and-Conquer Optimization Method...

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20th International SoC Design conference (ISOCC)

作者： Song, Hyoseok Kim, Kwangmin Han, Changyoon Kim, Byungsub Pohang Univ Sci & Technol Dept Elect Engn Pohang South Korea

ISBN: (纸本)9798350327038

We review the speculative divide-and-conquer (SDnC) optimization method. SDnC optimization method is a highly effective for large analog/mixed-signal (AMS) circuits. As the size of circuits grows, previous optimization methods face difficulties due to an exponential increase in design complexity. To reduce exponential design complexity, SDnC decreases the evaluation and optimization levels from the large AMS circuit to smaller module units. this significant reduction in design and optimization complexity could be validated through comparisons with other methods, such as parameter sweep and PSO. Furthermore, a key aspect of SDnC is modeling intricate interactions between modules. this results in power evaluations that differ from actual simulation results by only an average of 3.4%, demonstrating the accuracy of the SDnC approach.

关键词： Analog/mixed-signal (AMS) design optimization circuit optimization feed forward equalization (FFE) highspeed link transmitter (TX) large AMS circuit

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LD-MDCT Quantization Algorithm optimization and FPGA Realization Using DUTSQ and SFDP Techniques 20

LD-MDCT Quantization Algorithm Optimization and FPGA Realiza...

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20th Asia-Pacific conference on Circuits and systems

作者： Li, Fanyang Yuan, Zhanpeng Wang, Faxiang Fuzhou Univ Coll Phys & Inform Engn Fuzhou Peoples R China Fuzhou Univ Sch Adv Mfg Quanzhou Peoples R China

ISBN: (纸本)9798350378788;9798350378771

In the recent audio codec standard LC3 plus, a good balance between low latency and algorithm complexity has been achieved this standard introduces a new quantization algorithm. To reduce system resource consumption and area usage, as well as to increase operation speed, this paper implements an efficient hardware architecture for the dead-zone plus uniform threshold scalar quantization (DUTSQ) algorithm under low-latency modified discrete cosine transform (LD-AMUR, based on low-latency time-domain diming cancellation (LD-TDAC) technology. the proposed quantization hardware architecture, based on state machines and folded-multiplexed data paths (SFDP) technology, significantly reduces system resource consumption. Verified using Altera MAX 10 technology, the hardware architecture operates at a frequency of 75 MHz, with logical resources occupying 16% of the total resources.

关键词： LC3 plus Low Delay Modified Discrete Cosine Transform (LD-MDCI) Dead Zone plus Uniform threshold Scalar Quantization (DUTSQ) state-machines and folded-multiplexed data path (SFDP)

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modeling and Optimisation of a Hybrid Energy Harvesting system for IoT Nodes through PSO-MPPT 20

Modeling and Optimisation of a Hybrid Energy Harvesting Syst...

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20th International Multi-conference on systems, Signals and Devices, SSD 2023

作者： Rabah, Sirine Zaier, Aida Dahman, Hassen Tunisia University of Carthage Tunis Tunisia National Engineering School of Tunis Innov-Lab Tunisia Gabes University LaPhyMNE-LR05ES14 Tunisia National Engineering School of Gabes Department of Automatic and Electrical Engineering Tunisia

ISBN: (纸本)9798350332568

the principal contribution of this research paper is to propose an efficient hybrid solar-wind energy harvesting approach that can be used as a solution to the limited battery energy problem of IoT nodes. Ideally, the IoT Network nodes using optimized Solar-wind Energy Harvesting should function for many years. In order to obtain the optimal power for a hybrid system, the Maximum power point tracking (MPPT) based on Particle Swarm optimization (PSO) controller is proposed. this is by adjusting the duty cycle of the boost converter for both Solar and wind system based on voltage and current measurements. During this work, the modeling and simulation of the proposed hybrid system with PSO-MPPT technique under various wind speeds and various irradiation levels are done using MATLAB/SIMULINK. the Battery Condition of Charge (SoC), battery voltage and battery Current are evaluated. Simulation results prove that the proposed hybrid system with MPPT using PSO can provide better performance as compared to the Perturb and Observe (P&O) method. the proposed system has the potential to meet the energy demand of IoT nodes. increases the durability, and total efficiency of the IoT devices, making them perpetually powered. © 2023 IEEE.

关键词： Hybrid systems

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Proceedings of the 2024 10th Euro-Asian Pulsed Power conference, 25th International conference on High-Power Particle Beams and 20th International Symposium on Electromagnetic Launch Technology, EAPPC-BEAMS-EML 2024

Proceedings of the 2024 10th Euro-Asian Pulsed Power Confere...

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10th Euro-Asian Pulsed Power conference, 25th International conference on High-Power Particle Beams and 20th International Symposium on Electromagnetic Launch Technology, EAPPC-BEAMS-EML 2024

ISBN: (纸本)9789038661353

the proceedings contain 95 papers. the topics discussed include: evaluation of a MARX-type klystron modulator using semiconductors for practical application;pulsed power drilling for deep secure storage;high speed, low loss and energy recovery in pulsed power circuit using ultra-high voltage SiC devices;the effect of thickness of cathode active material layer on separation of cathode materials in lithium-ion batteries using electrical pulsed discharge;a calculation method of deposition layer based on armature melting morphology;gyrator-capacitor circuit modeling of Tesla transformer with partial magnetic cores;experimental demonstration of model based control of a nonlinear aircraft arresting system;study on breakdown voltage and damage mechanism of an extrinsic V-doped SiC lateral photoconductive device;and a circuitry solution for fast transformer-coupled lc inversion generators.

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