Results 101 to 110 of about 171,662 (340)

Global Tracking Passivity--based PI Control of Bilinear Systems and its Application to the Boost and Modular Multilevel Converters

, 2015
This paper deals with the problem of trajectory tracking of a class of bilinear systems with time--varying measurable disturbance. A set of matrices {A,B_i} has been identified, via a linear matrix inequality, for which it is possible to ensure global ...
Bergna, G., Cisneros, R., Ippoliti, G., Molinas, M., Ortega, R., Pirro, M.   +5 more
core   +4 more sources

Cryo‐EM of Rationally Designed Photosystem I Nanoassembly on Graphene Validates Orientation‐Driven Enhancement of Photocatalytic Performance

Advanced Functional Materials, EarlyView.
The first cryo‐EM visualization and quantification of oriented Photosystem I (PSI) on single‐layer graphene is reported. Domain‐specific covalent anchoring of PSI, with the reducing side of the biophotocatalyst toward graphene, promotes three‐fold higher anodic photocurrent generation compared to a randomly physisorbed counterpart. This approach allows
Miriam Izzo, Margot Jacquet, Tomasz Góral, Marcin Strawski, Takayuki Fujiwara, Shin‐ya Miyagishima, Joanna Kargul   +6 more
wiley   +1 more source

Nonlinear Control of a DC MicroGrid for the Integration of Photovoltaic Panels

, 2016
New connection constraints for the power network (Grid Codes) require more flexible and reliable systems, with robust solutions to cope with uncertainties and intermittence from renewable energy sources (renewables), such as photovoltaic arrays.
Damm, Gilney, De Santis, Elena, Di Benedetto, Maria Domenica, Iovine, Alessio, Siad, Sabah Benamane   +4 more
core   +3 more sources

Decoupling Size and Electronic Effects in Doped SrTiO3 Photocatalysts Through Surface Area–Normalized CO2 Hydrogenation Rates

Advanced Functional Materials, EarlyView.
Exploring the photocatalytic reverse water–gas shift (RWGS) reaction on doped SrTiO3 nanoparticle films, reveals that normalizing catalytic rates by the catalyst's specific surface area (SSA) disentangled surface area effects from the catalyst's intrinsic material properties.
Dikshita Bhattacharyya, Baliana Shani, Isaac Holmes‐Gentle, Gerardo T Martinez, Martyn McLachlan, Nicola Seriani, Ludmilla Steier   +6 more
wiley   +1 more source

Converter station selection method of urban VSC‐DC intertie for grid resilience enhancement

High Voltage
The site selection of converter stations for voltage source converter‐based direct current (VSC‐DC) interties can significantly impact their control performance, particularly when both grid‐following control (GFL) and grid‐forming control (GFM) are ...
Mingyang Li, Kaiqi Sun, Ke‐Jun Li, Yang Liu, Ge Cao, Shuxin Song, Yuanyuan Sun   +6 more
doaj   +1 more source

Functional Materials for Environmental Energy Harvesting in Smart Agriculture via Triboelectric Nanogenerators

Advanced Functional Materials, EarlyView.
This review explores functional and responsive materials for triboelectric nanogenerators (TENGs) in sustainable smart agriculture. It examines how particulate contamination and dirt affect charge transfer and efficiency. Environmental challenges and strategies to enhance durability and responsiveness are outlined, including active functional layers ...
Rafael R. A. Silva, Giulio Fatti, Emanuel Carlos, Guilherme Ferreira, Sumita Goswami, Suman Nandy, Luiz H. C. Mattoso, Elvira Fortunato, Caio G. Otoni, Rodrigo Martins   +9 more
wiley   +1 more source

Grid Forming Inverter as an Advanced Smart Inverter for Augmented Ancillary Services in a Low Inertia and a Weak Grid System Towards Grid Modernization

Clean Technologies
Grid dynamics and control mechanisms have improved as smart grids have used more inverter-based renewable energy resources (IBRs). Modern converter technologies try to improve converters’ capacities to compensate for grid assistance, but their inertia ...
Shriram S. Rangarajan, E. Randolph Collins, Tomonobu Senjyu   +2 more
doaj   +1 more source

Unleashing the Power of Machine Learning in Nanomedicine Formulation Development

Advanced Functional Materials, EarlyView.
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore, Cristiano Pesce, Antonietta Greco, Claudia Pisante, Greta Avancini, Valentina Di Francesco, Yosi Shamay, Paolo Decuzzi   +7 more
wiley   +1 more source

Sequence impedance modeling of grid-following LC-type voltage source converter

Journal of Physics: Conference Series
Abstract This paper establishes the impedance model of a grid-following converter without grabbing control delay and frequency coupling effects into attention, and uses the sinusoidal linearization to operate method to create both sides of the sequence impedance model in order to study the oscillation problem of power systems that ...
Yu Chen, Chenghao Sun, Fujun Qi, Haijuan Zhang, Xiaodong Chu, Hua Ye   +5 more
openaire   +1 more source

Photonic Engineering Enables All‐Passive Upconversion Imaging with Low‐Intensity Near‐Infrared Light

Advanced Functional Materials, EarlyView.
A passive upconversion imaging system enables the observation of scenes illuminated by low‐intensity incoherent near‐infrared light from 750 to 930 nm, by converting it into the visible without the use of external power. The upconverter is enabled by triplet–triplet annihilation in a bulk heterojunction, with absorption enhanced by plasmonic resonators
Rabeeya Hamid, Demeng Feng, Pournima Narayanan, Justin S. Edwards, Manchen Hu, Emma Belliveau, Minjeong Kim, Shenwei Yin, Sanket Deshpande, Chenghao Wan, Linda Pucurimay, David A. Czaplewski, Daniel N. Congreve, Mikhail A. Kats   +13 more
wiley   +1 more source