A Novel Gain Modeling Technique for LLC Resonant Converters based on The Hybrid Deep-Learning/GMDH Neural Network
Fuente:
arXiv
Guardado en:
| Autor principal: | Mohammadi, Parham |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Single-Shot Learning of Multirotor Controller Gains: A Data-Driven Approach with Experimental Validation
por: Mirtaba, Mohammad, et al.
Publicado: (2024)
por: Mirtaba, Mohammad, et al.
Publicado: (2024)
Design and Implementation of DC-DC Buck Converter based on Deep Neural Network Sliding Mode Control
por: Zhiwei, Liu, et al.
Publicado: (2024)
por: Zhiwei, Liu, et al.
Publicado: (2024)
A Neural Network Approach to a Modified Quadratic Boost Multiport Resonant Converter for Electric Vehicle Chargers
por: Rajeswari, V., et al.
Publicado: (2025)
por: Rajeswari, V., et al.
Publicado: (2025)
Deep Reinforcement Learning-Aided Frequency Control of LCC-S Resonant Converters for Wireless Power Transfer Systems
por: Safari, Reza, et al.
Publicado: (2025)
por: Safari, Reza, et al.
Publicado: (2025)
Decentralized Small Gain and Phase Stability Conditions for Grid-Forming Converters: Limitations and Extensions
por: Cifelli, Diego, et al.
Publicado: (2025)
por: Cifelli, Diego, et al.
Publicado: (2025)
Comprehensive Analysis and Experimental Design of High-Gain DC-DC Boost Converter Topologies
por: Adepoju, Webster, et al.
Publicado: (2024)
por: Adepoju, Webster, et al.
Publicado: (2024)
A Novel Topology Recovery Method for Low Voltage Distribution Networks
por: Mohammadi, Sina, et al.
Publicado: (2025)
por: Mohammadi, Sina, et al.
Publicado: (2025)
Analytic Design of Flat-Wire Inductors for High-Current and Compact DC-DC Converters
por: Mohammadi, Sajjad, et al.
Publicado: (2024)
por: Mohammadi, Sajjad, et al.
Publicado: (2024)
Model-free Dynamic Mode Adaptive Control using Matrix RLS
por: Oveissi, Parham, et al.
Publicado: (2025)
por: Oveissi, Parham, et al.
Publicado: (2025)
Model-Free Dynamic Mode Adaptive Control for Data-Driven Control Synthesis
por: Oveissi, Parham, et al.
Publicado: (2026)
por: Oveissi, Parham, et al.
Publicado: (2026)
Low-frequency Resonances in Grid-Forming Converters: Causes and Damping Control
por: Zhao, Fangzhou, et al.
Publicado: (2024)
por: Zhao, Fangzhou, et al.
Publicado: (2024)
Deep Q-Learning-Based Gain Scheduling for Nonlinear Quadcopter Dynamics
por: Rastgoftar, Hossein, et al.
Publicado: (2026)
por: Rastgoftar, Hossein, et al.
Publicado: (2026)
Modelling and Control of a Buck Converter Using State-Space Averaging and Classical Feedback Techniques
por: Nwachukwu, Sampson E.
Publicado: (2025)
por: Nwachukwu, Sampson E.
Publicado: (2025)
High-Gain Voltage-Multiplier Coupled Quadratic Boost Converter: A New Design for Small Scale PV Integration
por: Sali, Safa Mohammed, et al.
Publicado: (2025)
por: Sali, Safa Mohammed, et al.
Publicado: (2025)
Hybrid Machine Learning Approach for Cyberattack Mitigation of Parallel Converters in a DC Microgrid
por: Souri, Naser, et al.
Publicado: (2024)
por: Souri, Naser, et al.
Publicado: (2024)
Gain-Only Neural Operators for PDE Backstepping
por: Vazquez, Rafael, et al.
Publicado: (2024)
por: Vazquez, Rafael, et al.
Publicado: (2024)
Towards Reliable Neural Optimizers: A Permutation Equivariant Neural Approximation for Information Processing Applications
por: Li, Meiyi, et al.
Publicado: (2024)
por: Li, Meiyi, et al.
Publicado: (2024)
Deep Neural Network based Optimal Control of Greenhouses
por: Sathyanarayanan, Kiran Kumar, et al.
Publicado: (2023)
por: Sathyanarayanan, Kiran Kumar, et al.
Publicado: (2023)
A Pipelined Memristive Neural Network Analog-to-Digital Converter
por: Danial, Loai, et al.
Publicado: (2024)
por: Danial, Loai, et al.
Publicado: (2024)
A Power Electronic Converter Control Framework Based on Graph Neural Networks -- An Early Proof-of-Concept
por: Jakobeit, Darius, et al.
Publicado: (2026)
por: Jakobeit, Darius, et al.
Publicado: (2026)
Deep Reinforcement Learning-Based Control Strategy with Direct Gate Control for Buck Converters
por: Katayama, Noboru
Publicado: (2025)
por: Katayama, Noboru
Publicado: (2025)
Connected C-Core Hybrid SRMs for EV Applications
por: Davarpanah, Gholamreza, et al.
Publicado: (2025)
por: Davarpanah, Gholamreza, et al.
Publicado: (2025)
A Grid-Forming HVDC Series Tapping Converter Using Extended Techniques of Flex-LCC
por: Sun, Qianhao, et al.
Publicado: (2025)
por: Sun, Qianhao, et al.
Publicado: (2025)
Model-Based Adaptive Control of Modular Multilevel Converters
por: Tebaldi, Davide, et al.
Publicado: (2024)
por: Tebaldi, Davide, et al.
Publicado: (2024)
Towards Reliable Neural Optimizers: Permutation-Equivariant Neural Approximation in Dynamic Data Driven Applications Systems
por: Li, Meiyi, et al.
Publicado: (2025)
por: Li, Meiyi, et al.
Publicado: (2025)
Field Free Novel Architecture for Spintronic Flash Analog to Digital Converter
por: Francis, Abin, et al.
Publicado: (2026)
por: Francis, Abin, et al.
Publicado: (2026)
Deep Neural Network NMPC for Computationally Tractable Optimal Power Management of Hybrid Electric Vehicle
por: Park, Suyong, et al.
Publicado: (2024)
por: Park, Suyong, et al.
Publicado: (2024)
Physics-Informed Neural Network-Based Control for Grid-Forming Converter's Stability Under Overload Conditions
por: Kumar, Abhay, et al.
Publicado: (2025)
por: Kumar, Abhay, et al.
Publicado: (2025)
Prescribed-Performance-Aware Hybrid-Gain-Based Robust Controller
por: Shivam, Amit, et al.
Publicado: (2026)
por: Shivam, Amit, et al.
Publicado: (2026)
A Novel Tunable Controller for Grid Forming Converters towards Critical Services Application
por: Tripathy, Yangyadatta, et al.
Publicado: (2025)
por: Tripathy, Yangyadatta, et al.
Publicado: (2025)
Multi-Task Lifelong Reinforcement Learning for Wireless Sensor Networks
por: Firouzjaei, Hossein Mohammadi, et al.
Publicado: (2025)
por: Firouzjaei, Hossein Mohammadi, et al.
Publicado: (2025)
Proximal Policy Optimization-Based Reinforcement Learning Approach for DC-DC Boost Converter Control: A Comparative Evaluation Against Traditional Control Techniques
por: Saha, Utsab, et al.
Publicado: (2023)
por: Saha, Utsab, et al.
Publicado: (2023)
Contracting Neural Networks: Sharp LMI Conditions with Applications to Integral Control and Deep Learning
por: Gokhale, Anand, et al.
Publicado: (2026)
por: Gokhale, Anand, et al.
Publicado: (2026)
Collaborative Spacecraft Servicing under Partial Feedback using Lyapunov-based Deep Neural Networks
por: Nino, Cristian F., et al.
Publicado: (2025)
por: Nino, Cristian F., et al.
Publicado: (2025)
A Deep Neural Network-based Frequency Predictor for Frequency-Constrained Optimal Power Flow
por: Jiang, Fan, et al.
Publicado: (2025)
por: Jiang, Fan, et al.
Publicado: (2025)
A Novel Radial-Flux IPM Eddy-Current Coupler for Wind Generator Applications
por: Mohammadi, Sajjad, et al.
Publicado: (2024)
por: Mohammadi, Sajjad, et al.
Publicado: (2024)
Dual-Port Grid-Forming Interconnecting Power Converters in Hybrid AC/DC Grids
por: Arévalo-Soler, Josep, et al.
Publicado: (2024)
por: Arévalo-Soler, Josep, et al.
Publicado: (2024)
Electrical Load Forecasting Model Using Hybrid LSTM Neural Networks with Online Correction
por: Lu, Nan, et al.
Publicado: (2024)
por: Lu, Nan, et al.
Publicado: (2024)
Robust and Gain-Scheduling ${\cal H}_2$ Control Techniques for LFT Uncertain and Parameter-Dependent Systems
por: Wu, Fen
Publicado: (2026)
por: Wu, Fen
Publicado: (2026)
Variable Dead-Time Based Novel Soft-Start Method for Dual Active Bridge Converters
por: Wijesooriya, Sachith, et al.
Publicado: (2026)
por: Wijesooriya, Sachith, et al.
Publicado: (2026)
Ejemplares similares
-
Single-Shot Learning of Multirotor Controller Gains: A Data-Driven Approach with Experimental Validation
por: Mirtaba, Mohammad, et al.
Publicado: (2024) -
Design and Implementation of DC-DC Buck Converter based on Deep Neural Network Sliding Mode Control
por: Zhiwei, Liu, et al.
Publicado: (2024) -
A Neural Network Approach to a Modified Quadratic Boost Multiport Resonant Converter for Electric Vehicle Chargers
por: Rajeswari, V., et al.
Publicado: (2025) -
Deep Reinforcement Learning-Aided Frequency Control of LCC-S Resonant Converters for Wireless Power Transfer Systems
por: Safari, Reza, et al.
Publicado: (2025) -
Decentralized Small Gain and Phase Stability Conditions for Grid-Forming Converters: Limitations and Extensions
por: Cifelli, Diego, et al.
Publicado: (2025)