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Relevant bibliographies by topics / RL filter

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Academic literature on the topic 'RL filter'

Author: Grafiati

Published: 14 March 2023

Last updated: 31 July 2025

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Journal articles on the topic "RL filter"

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Kumar, R. Senthil, Dr Prabakaran S, and Dr S. Sentamil Selvan. "Power Quality Improvement Grid Integrated Photovoltaic with LCL Filter Using DQ Controller." International Journal of Electrical and Electronics Research 11, no. 2 (2023): 283–90. http://dx.doi.org/10.37391/ijeer.110206.

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Grid-interactive solar photovoltaic (PV) systems are necessary for the current global scenario owing to their low cost and pollution-free energy source. The integration of PV systems in the power grid needs to be stabilized. To address this, this paper presents a composite controller that can synchronize Photovoltaic (PV) to the Grid, with bidirectional power flow in Grid. The proposed technique is explored with both RL and LCL filters. With grid synchronization of PV power generation, a control loop for power quality disturbance mitigation is simulated. The multicarrier SVPWM with DQ controll

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Liao, Liqing, Xiangyang Liu, Jingyang Zhou, Wenrui Yan, and Mi Dong. "High-Order Grid-Connected Filter Design Based on Reinforcement Learning." Energies 18, no. 3 (2025): 586. https://doi.org/10.3390/en18030586.

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In grid-connected inverter systems, grid-connected filters can effectively eliminate harmonics. High-order filters perform better than conventional filters in eliminating harmonics and can reduce costs. For high-order filters, the use of multi-objective optimization algorithms for parameter optimization presupposes that the circuit structure must be known. To realize the design of the filter structure and related circuit parameters that meet the requirements of the grid-connected inverter system during the design process, this paper proposes a reinforcement learning (RL) method for designing h

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Sariyar, M., and A. Borg. "Deterministic Linkage as a Preceding Filter for Other Record Linkage Methods." International Journal of Information Technology & Decision Making 14, no. 03 (2015): 521–33. http://dx.doi.org/10.1142/s0219622015500108.

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Deterministic record linkage (RL) is frequently regarded as a rival to more sophisticated strategies like probabilistic RL. We investigate the effect of combining deterministic linkage with other linkage techniques. For this task, we use a simple deterministic linkage strategy as a preceding filter: a data pair is classified as ‘match' if all values of attributes considered agree exactly, otherwise as ‘nonmatch'. This strategy is separately combined with two probabilistic RL methods based on the Fellegi–Sunter model and with two classification tree methods (CART and Bagging). An empirical comp

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Bolster, Lauren, Mark Bosch, Brian Brownbridge, and Anurag Saxena. "RAP Trial: Ringer's Lactate and Packed Red Blood Cell Transfusion, An in Vitro Study and Chart Review." Blood 114, no. 22 (2009): 2105. http://dx.doi.org/10.1182/blood.v114.22.2105.2105.

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Abstract Abstract 2105 Poster Board II-82 Background: The Canadian Blood Services and the American Association of Blood Banks state that intravenous solution administered with packed red blood cells (pRBC) must be isotonic and must not contain calcium or glucose. This recommendation is based on in vitro investigations demonstrating that calcium containing solutions can initiate in vitro coagulation in citrated blood (Ryden 1975, Dickson 1980, Lorenzo 1998). Recently this recommendation has been challenged by in vitro studies that combined AS-3 pRBC with Ringer's Lactate (RL) (Albert 2009). Cur

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Di Gioia, Michele, Luigi Lombardi, Cristoforo Marzocca, et al. "Signal-to-Noise Ratio Analysis for the Voltage-Mode Read-Out of Quartz Tuning Forks in QEPAS Applications." Micromachines 14, no. 3 (2023): 619. http://dx.doi.org/10.3390/mi14030619.

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Quartz tuning forks (QTFs) are employed as sensitive elements for gas sensing applications implementing quartz-enhanced photoacoustic spectroscopy. Therefore, proper design of the QTF read-out electronics is required to optimize the signal-to-noise ratio (SNR), and in turn, the minimum detection limit of the gas concentration. In this work, we present a theoretical study of the SNR trend in a voltage-mode read-out of QTFs, mainly focusing on the effects of (i) the noise contributions of both the QTF-equivalent resistor and the input bias resistor RL of the preamplifier, (ii) the operating freq

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Spindler, Gerald. "Upload-Filter: Umsetzungsoptionen zu Art. 17 DSM-RL." Computer und Recht 36, no. 1 (2020): 50–59. http://dx.doi.org/10.9785/cr-2020-360112.

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Lu, Di, N. Scott Barker, and Xiao-Hong Tang. "Miniaturized dual-band filter with return loss bandwidth and transmission zero control." International Journal of Microwave and Wireless Technologies 9, no. 7 (2017): 1459–65. http://dx.doi.org/10.1017/s1759078717000071.

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In this paper, a compact dual-band bandpass filter (DB-BPF) using new dual-mode resonator-loaded resonators (DM-RLRs) is presented and investigated to simultaneously achieve controllable return loss (RL), bandwidth (BW) and transmission zeros (TZs), and the simple strategy for this type of filter design is proposed. The DB-BPF consists of two high-flexibility DM-RLRs with separated electric and magnetic coupling (SEMC). Specifically, the proposed DM-RLR provides the DB-BPF with center frequency control as well as RL control, and SEMC is utilized for the BW and TZ control. To facilitate the des

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Dujpen, Thanakorn, Chadarat Khwunnak, Samran Lertkonsarn, and Sarayut Thitapars. "The development of a fully balanced active-RC low-pass filter." EUREKA: Physics and Engineering, no. 2 (March 28, 2025): 113–20. https://doi.org/10.21303/2461-4262.2025.003728.

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This research presents the comprehensive development and analysis of a fully balanced active-RC low-pass filter, specifically designed to deliver high efficiency, tunability, and precision in signal processing applications. The filter architecture comprises four bipolar junction transistors (BJTs) as active elements, connected to two resistors (RL and Ree) and one capacitor as passive components, ensuring a robust configuration. This balanced design facilitates the generation of high-resolution and stable signals, with circuit performance closely aligning with simulation results obtained using

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Kong, Lingteng, Thomas Bligh Scott, John Charles Clifford Day, and David Andrew Megson-Smith. "Long-Range Imaging of Alpha Emitters Using Radioluminescence in Open Environments: Daytime and Night-Time Applications." Sensors 24, no. 16 (2024): 5345. http://dx.doi.org/10.3390/s24165345.

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Alpha emitters like plutonium pose severe health risks when ingested, damaging DNA and potentially causing cancer. Traditional detection methods require proximity within millimeters of the contamination source, presenting safety risks and operational inefficiencies. Long-range detection through alpha radioluminescence (RL) offers a promising alternative. However, most of the previous experiments have been carried out under controlled conditions that preclude the overwhelming effect of ambient light. This study demonstrates the successful detection of a 3 MBq alpha emitter in an open environmen

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Saleem, Mohamed Muftah. "New Method to Harmonic Isolation Based on High Selectivity Filter to Control of Shunt Active Filter with Experimental Validation Using DSPACE System." Applied Mechanics and Materials 666 (October 2014): 53–58. http://dx.doi.org/10.4028/www.scientific.net/amm.666.53.

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This paper presents a new control method of a parallel active power filters based on improved harmonic isolation with hardware implementation. The harmonic isolator is based on High Selectivity Filters (it can be tuned at any frequency) and the current control technique consists in a modulated hysteresis current controller. This active filter is intended for harmonic compensation of a diode rectifier feeding a RL load. The study of the active filter control is divided in two parts. The first part deals with the harmonic isolator which generates the harmonic reference currents and is implemente

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Dissertations / Theses on the topic "RL filter"

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RUFFO, RICCARDO. "Motor Overvoltage and Power Losses Analysis in Industrial AC Drives Based on Si and SiC Devices." Doctoral thesis, Politecnico di Torino, 2019. http://hdl.handle.net/11583/2743227.

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Fuchs, Philippe. "Die Auswirkungen der Markets in Financial Instruments Directive (RL 2004/39/EG; MiFID) auf Schweizer Finanzintermediäre." St. Gallen, 2008. http://www.biblio.unisg.ch/org/biblio/edoc.nsf/wwwDisplayIdentifier/01650167004/$FILE/01650167004.pdf.

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Book chapters on the topic "RL filter"

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Jin, Shan. "A Lowpass-Bandpass Diplexer Using Common Lumped-Element Dual-Resonance Resonator." In Frontiers in Artificial Intelligence and Applications. IOS Press, 2022. http://dx.doi.org/10.3233/faia220531.

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A lowpass-bandpass (LP-BP) diplexer with one lowpass channel (LPC) and one bandpass channel (BPC) is presented. The lumped-element dual-resonance resonator as common resonator is proposed to connect inductors, capacitors and LC resonator to constitute the desired channels. The LPC design is combined with parameters optimization and the lowpass transformation method, and the BPC design can be developed using the classical design theory of coupled-resonator filter. As an example, a 0.9 / 1.8 GHz LP-BP diplexer is designed and fabricated, which exhibits high return loss (RL), low insertion loss (

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Stausberg Jürgen, Waldenburger Andreas, Borgs Christian, and Schnell Rainer. "Combining Different Privacy-Preserving Record Linkage Methods for Hospital Admission Data." In Studies in Health Technology and Informatics. IOS Press, 2017. https://doi.org/10.3233/978-1-61499-753-5-161.

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Record linkage (RL) is the process of identifying pairs of records that correspond to the same entity, for example the same patient. The basic approach assigns to each pair of records a similarity weight, and then determines a certain threshold, above which the two records are considered to be a match. Three different RL methods were applied under privacy-preserving conditions on hospital admission data: deterministic RL (DRL), probabilistic RL (PRL), and Bloom filters. The patient characteristics like names were one-way encrypted (DRL, PRL) or transformed to a cryptographic longterm key (Bloo

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Sharma, Iti, Nimish Kumar, and Himanshu Verma. "Reinforcement Learning-Driven Optimization of Convolutional Neural Networks for Plant Disease Classification." In Advances in Electronic Government, Digital Divide, and Regional Development. IGI Global, 2023. http://dx.doi.org/10.4018/978-1-6684-9596-4.ch008.

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This chapter presents a novel approach for optimizing convolutional neural networks (CNNs) using reinforcement learning (RL) for the purpose of plant disease classification. The proposed method involves using an RL agent to automatically search for the optimal hyperparameters of the CNN, such as the learning rate and number of filters, in order to achieve the highest classification accuracy. The CNN is trained on a large dataset of plant images, and the RL agent is trained to maximize a reward signal based on the accuracy of the CNN on a validation set. Experimental results show that the RL-dr

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Raju, P., CH Kalyani, G. Neeraja Rani, M. Kanaka Durga, J. Anjaiah, and S. Katlakunta. "FERRITE-POLYMER NANOCOMPOSITES: STRUCTURAL, ELECTRICAL, MAGNETIC AND EMI SHIELDING PROPERTIES." In Futuristic Trends in Chemical Material Sciences & Nano Technology Volume 3 Book 21. Iterative International Publishers, Selfypage Developers Pvt Ltd, 2024. http://dx.doi.org/10.58532/v3becs21p9ch1.

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Utilizing polyaniline (PANI) filler inside of a ferrite (NiCuZnFe2O4) matrix, electromagnetic absorbent materials that blend organic and inorganic components have been successfully created. These NiCuZn ferrite-PANI nanocomposites were created by mechanically milling ferrite. X-ray diffraction (XRD), Fourier infrared spectroscopy (FTIR), and scanning electron microscopy were used to examine the structural and morphological features of these nanocomposites (SEM). The X-band (8.2-12.4 GHz) and Ku band (12-18 GHz) frequency ranges' electromagnetic characteristics and absorption patterns were inve

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Conference papers on the topic "RL filter"

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Yazdanian, Mehrdad, and Ali Mehrizi-Sani. "Internal model-based current control of the RL filter-based voltage-sourced converter." In 2015 IEEE Power & Energy Society General Meeting. IEEE, 2015. http://dx.doi.org/10.1109/pesgm.2015.7285832.

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Uhl, Ramón Tamino, Isabel Schüle, Laurin Ludmann, and A. René Geist. "Development and Evaluation of a Combined Driveline Oscillation and Traction Controller Using Model Predictive Control and Reinforcement Learning: A Comparative Case Study." In 2025 Stuttgart International Symposium. SAE International, 2025. https://doi.org/10.4271/2025-01-0291.

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<div class="section abstract"><div class="htmlview paragraph">In electric vehicles, the control of driveline oscillations and tire traction is critical for guaranteeing driver comfort and safety. Yet, achieving sufficient driveline control performance remains challenging in the presence of rapidly varying road conditions. Two promising avenues for further improving driveline control are adaptive model predictive control (MPC) and model-based reinforcement learning (RL). We derive such controllers from the same non-linear vehicle model and validate them through pre-defined test scen

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Flet-Berliac, Yannis, and Philippe Preux. "Only Relevant Information Matters: Filtering Out Noisy Samples To Boost RL." In Twenty-Ninth International Joint Conference on Artificial Intelligence and Seventeenth Pacific Rim International Conference on Artificial Intelligence {IJCAI-PRICAI-20}. International Joint Conferences on Artificial Intelligence Organization, 2020. http://dx.doi.org/10.24963/ijcai.2020/376.

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In reinforcement learning, policy gradient algorithms optimize the policy directly and rely on sampling efficiently an environment. Nevertheless, while most sampling procedures are based on direct policy sampling, self-performance measures could be used to improve such sampling prior to each policy update. Following this line of thought, we introduce SAUNA, a method where non-informative transitions are rejected from the gradient update. The level of information is estimated according to the fraction of variance explained by the value function: a measure of the discrepancy between V and the em

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Muhammad, Ressi Bonti, Yasaman Cheraghi, Sergey Alyaev, Apoorv Srivastava, and Reidar Brumer Bratvold. "Enhancing Geosteering With AI: Integrating a Decision-Making Robot Into a Cloud-Based Environment and Benchmarking Against Human Experts." In SPE Norway Subsurface Conference. SPE, 2024. http://dx.doi.org/10.2118/218444-ms.

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Abstract This paper aims to demonstrate the application of a new automatic geosteering method that combines probabilistic interpretation with artificial intelligence (AI) for look-ahead decision-making. We expand on our previous synthetic workflow by integrating the geosteering "robot" into a commercial cloud-based geosteering environment through its web application programming interface (API). We bench- mark the robot against 100 active human participants of the ROGII Geosteering World Cup (GWC) 2021. Our automatic geosteering method combines a Reinforcement Learning (RL) algorithm with the P

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Seong, Jihyeon, Sekwang Oh, and Jaesik Choi. "Towards Dynamic Trend Filtering through Trend Point Detection with Reinforcement Learning." In Thirty-Third International Joint Conference on Artificial Intelligence {IJCAI-24}. International Joint Conferences on Artificial Intelligence Organization, 2024. http://dx.doi.org/10.24963/ijcai.2024/257.

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Trend filtering simplifies complex time series data by applying smoothness to filter out noise while emphasizing proximity to the original data. However, existing trend filtering methods fail to reflect abrupt changes in the trend due to `approximateness,' resulting in constant smoothness. This approximateness uniformly filters out the tail distribution of time series data, characterized by extreme values, including both abrupt changes and noise. In this paper, we propose Trend Point Detection formulated as a Markov Decision Process (MDP), a novel approach to identifying essential points that

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Hu, Yaowei, Jingling Cheng, Dongdong Chen, and Guozhu Chen. "LCL-RL filter design for the medium-voltage wind energy conversion system based on dual modules parallel using PS-SVPWM." In 2016 IEEE 2nd Annual Southern Power Electronics Conference (SPEC). IEEE, 2016. http://dx.doi.org/10.1109/spec.2016.7846042.

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Mahata, Shibendu, та Ritu Rani De Maity. "Optimal Design of (α + β)-Order Butterworth Filter and Its Realization Using RL_βC_α Circuit". У 2023 International Conference on Computer, Electrical & Communication Engineering (ICCECE). IEEE, 2023. http://dx.doi.org/10.1109/iccece51049.2023.10085113.

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Cleveston, Iury, and Esther L. Colombini. "RAM-VO: A Recurrent Attentional Model for Visual Odometry." In Anais Estendidos do Simpósio Brasileiro de Robótica e Simpósio Latino Americano de Robótica. Sociedade Brasileira de Computação, 2021. http://dx.doi.org/10.5753/wtdr_ctdr.2021.18684.

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Determining the agent's pose is fundamental for developing autonomous vehicles. Visual Odometry (VO) algorithms estimate the egomotion using only visual differences from the input frames. The most recent VO methods implement deep-learning techniques using convolutional neural networks (CNN) widely, adding a high cost to process large images. Also, more data does not imply a better prediction, and the network may have to filter out useless information. In this context, we incrementally formulate a lightweight model called RAM-VO to perform visual odometry regressions using large monocular image

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Seifoddini, Arash, Arefeh Azad, Alessia Musa, and Daniela Misul. "Decentralized Control for CACC Systems Accounting for Uncertainties." In CO2 Reduction for Transportation Systems Conference. SAE International, 2024. http://dx.doi.org/10.4271/2024-37-0010.

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<div class="section abstract"><div class="htmlview paragraph">Traditional CACC systems utilize inter-vehicle wireless communication to maintain minimal yet safe inter-vehicle distances, thereby improving traffic efficiency. However, introducing communication delays generates system uncertainties that jeopardize string stability, a crucial requirement for robust CACC performance. To address these issues, we introduce a decentralized model predictive control (MPC) approach that incorporates Kalman filters and state predictors to counteract the uncertainties posed by noise and communi

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Cheng, Qiang, Viljam Grahn, Muhammad Akram, Jari Hyvonen, Ossi Kaario, and Martti Larmi. "2D Diesel Spray Droplet Size Mapping Based on Planar Laser Induced Fluorescence and Mie-Scattering Technique Using Sparsity Deconvolution." In WCX SAE World Congress Experience. SAE International, 2024. http://dx.doi.org/10.4271/2024-01-2622.

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<div class="section abstract"><div class="htmlview paragraph">The distribution of spray droplet sizes plays a pivotal role in internal combustion engines, directly affecting fuel-air mixing, evaporation, and combustion. To gain a precise understanding of droplet size distribution in a two-dimensional space, non-intrusive optical diagnostics emerge as a highly effective method. In the current investigation, two-dimensional (2D) diesel spray droplet sizes mapping using a simultaneous combination of planar laser-induced fluorescence (PLIF) and Mie-scattering techniques is introduced.

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