Results 91 to 100 of about 119,065 (295)

Decentralized Control of DC Microgrids Using Interconnection and Damping Assignment Passivity-Based Control Technique: Experimental Verification

IEEE Access
A decentralized control approach is introduced in this paper that utilizes passivity-based control for two DC-distributed energy sources supplying the power of a load. Considering the concept of passivity, if each distributed generator exhibits passivity,
Mohammad Afkar, Cong Yuan, Roghayeh Gavagsaz-Ghoachani, Wiset Saksiri, Matheepot Phattanasak, Jean-Philippe Martin, Serge Pierfederici   +6 more
doaj   +1 more source

Passivity-Based Control for Output Voltage Regulation in a Fuel Cell/Boost Converter System. [PDF]

Micromachines (Basel), 2023
Beltrán CA, Diaz-Saldierna LH, Langarica-Cordoba D, Martinez-Rodriguez PR.   +3 more
europepmc   +1 more source

Passivity-Based Thermohygrometric Control in Buildings

IEEE Transactions on Control Systems Technology, 2018
This paper presents a modeling and control method for the thermohygrometric condition (temperature and humidity) in a multizone building. The interconnection between the zones is captured through an undirected graph. Employing an electrical circuit analogy, rooms represent capacitances, and walls and doors/windows are resistances.
Charles Chukwunyem Okaeme, Sandipan Mishra, John Ting-Yung Wen   +2 more
openaire   +1 more source

Active damping of a DC network with a constant power load: an adaptive passivity-based control approach [PDF]

, 2018
This paper proposes a nonlinear, adaptive controller to increase the stability margin of a direct-current (DC) small-scale electrical network containing a constant power load, whose value is unknown.
Arocas Pérez, José, Griñó Cubero, Robert, He, Wei, Machado, Juan E., Ortega, Romeo   +4 more
core  

Bias‐Free Highly Efficient and Stable Dye‐Sensitized Photoelectrochemical Cells via Cascade Charge Transfer

Advanced Functional Materials, EarlyView.
A buried‐junction DSPEC design is introduced that leverages cascade charge transfer to enhance efficiency, stability, and versatility. This approach facilitates effective charge transfer and minimizes recombination losses, leading to significant improvements.
Jun‐Hyeok Park, Kyounglim Kim, Jinyoung Lee, Sarang Kim, Gwangsu Yoon, So Yeon Yoon, Jeong Kyeong Lee, Ji‐Wook Jang, Tae‐Hyuk Kwon   +8 more
wiley   +1 more source

Optimally Biomimetic Passivity-Based Control of a Lower-Limb Exoskeleton Over the Primary Activities of Daily Life. [PDF]

IEEE Open J Control Syst, 2022
Lin J, Divekar NV, Thomas GC, Gregg RD.
europepmc   +1 more source

Sequential Synthesis of Distributed Controllers for Cascade Interconnected Systems

, 2019
We consider the problem of designing distributed controllers to ensure passivity of a large-scale interconnection of linear subsystems connected in a cascade topology.
Agarwal, Etika, Antsaklis, Panos, Gupta, Vijay, Sivaranjani, S.   +3 more
core   +1 more source

Dual‐Mode Film Based on Highly Scattering Nanofibers and Upcycled Chips‐Bags for Year‐Round Thermal Management

Advanced Functional Materials, EarlyView.
Intelligent radiative cooling devices, adaptable to various weather conditions, have the potential for year‐round energy savings. This study introduces a sustainable dual‐mode film made from polycaprolactone nanofibers and upcycled chip bags for effective thermal management.
Qimeng Song, Stefan Rettinger, Chengzhang Xu, Ulrich Mansfeld, Markus Retsch   +4 more
wiley   +1 more source

Fractional-Order Sliding-Mode Control and Radial Basis Function Neural Network Adaptive Damping Passivity-Based Control with Application to Modular Multilevel Converters

Energies
This paper proposes a hybrid control scheme that combines fractional-order sliding-mode control (FOSMC) with radial basis function neural network adaptive damping passivity-based control (RBFPBC) for modular multilevel converters (MMC) under non-ideal ...
Xuhong Yang, Wenjie Chen, Congcong Yin, Qiming Cheng   +3 more
doaj   +1 more source

All‐in‐One Analog AI Hardware: On‐Chip Training and Inference with Conductive‐Metal‐Oxide/HfOx ReRAM Devices

Advanced Functional Materials, EarlyView.
An all‐in‐one analog AI accelerator is presented, enabling on‐chip training, weight retention, and long‐term inference acceleration. It leverages a BEOL‐integrated CMO/HfOx ReRAM array with low‐voltage operation (<1.5 V), multi‐bit capability over 32 states, low programming noise (10 nS), and near‐ideal weight transfer.
Donato Francesco Falcone, Victoria Clerico, Wooseok Choi, Tommaso Stecconi, Folkert Horst, Laura Bégon‐Lours, Matteo Galetta, Antonio La Porta, Nikhil Garg, Fabien Alibart, Bert Jan Offrein, Valeria Bragaglia   +11 more
wiley   +1 more source