Results 31 to 40 of about 7,728 (248)

Model Predictive Direct Power Control for Virtual-Flux-Based VSR With Optimal Switching Sequence

IEEE Access, 2022
Three-phase voltage-source rectifier (VSR) has been widely used in energy, industry and other fields in the past few years. Model predictive control with optimal switching sequence (OSS-MPC) has further reduced output current THD and ripples with a ...
Han Shi, Xiang Rong, Ping Tuo, Yuxuan Yao, Zheng Gong   +4 more
doaj   +1 more source

Real-time Control Method for Urban Drainage Systems Based on Coupled Unscented Kalman Filter [PDF]

长江科学院院报
[Objective] Model Predictive Control （MPC） has been increasingly applied to the coordinated regulation of sluices and pumps in urban drainage systems to maximize the utilization of existing storage capacity and mitigate waterlogging risks.
CHEN Yang, WANG Zhu-qiao, GUO Yu-chao
doaj   +1 more source

Model Predictive Base Direct Speed Control of Induction Motor Drive—Continuous and Finite Set Approaches

Energies, 2020
In the paper a comparative study of the two control structures based on MPC (Model Predictive Control) for an electrical drive system with an induction motor are presented.
Karol Wróbel, Piotr Serkies, Krzysztof Szabat   +2 more
doaj   +1 more source

Aging Is a Key Driver for Adult Acute Myeloid Leukemia

Aging and Cancer, EarlyView.
Acute myeloid leukemia (AML) is a classical age‐related hematologic malignancy, and a key driver of AML is aging, which profoundly regulates intrinsic factors such as genomic instability, epigenetic reprogramming, and metabolic dysregulation, and alters bone marrow microenvironment.
Rong Yin, Haojian Zhang
wiley   +1 more source

Model Predictive Control of Doubly Fed Induction Motors Based on Fuzzy Logic

Machines
Model predictive control (MPC) has become an attractive solution for doubly fed induction motors (DFIMs) due to its fast dynamic response and multi-variable constraint handling capability.
Xueyan Wang, Zhijun Ou, Fobao Zhou, Hang Zhao, Yiming Ma   +4 more
doaj   +1 more source

Application of Model Predictive Control to BESS for Microgrid Control

Energies, 2015
Battery energy storage systems (BESSs) have been widely used for microgrid control. Generally, BESS control systems are based on proportional-integral (PI) control techniques with the outer and inner control loops based on PI regulators.
Thai-Thanh Nguyen, Hyeong-Jun Yoo, Hak-Man Kim   +2 more
doaj   +1 more source

E-MPC: Edge-assisted Model Predictive Control

CoRR
Model predictive control (MPC) has become the de facto standard action space for local planning and learning-based control in many continuous robotic control tasks, including autonomous driving. MPC solves a long-horizon cost optimization as a series of short-horizon optimizations based on a global planner-supplied reference path. The primary challenge
Yuan-Yao Lou, Jonathan C. Spencer, Kwang Taik Kim, Mung Chiang   +3 more
openaire   +2 more sources

Kelvin Probe Force Microscopy in Bionanotechnology: Current Advances and Future Perspectives

Advanced Materials, EarlyView.
Kelvin probe force microscopy (KPFM) enables the nanoscale mapping of electrostatic surface potentials. While widely applied in materials science, its use in biological systems remains emerging. This review presents recent advances in KPFM applied to biological samples and provides a critical perspective on current limitations and future directions for
Ehsan Rahimi, Mario Palacios‐Corella, Arjan Mol, Salvador Pané, Josep Puigmartí‐Luis   +4 more
wiley   +1 more source

Water Permeates and Plasticizes Amorphous Carbon Dots: Unraveling the Inner Accessibility of the Nanoparticles by Glass Transition Studies

Advanced Materials, EarlyView.
The water permeability of amorphous carbon dots (CDs) is demonstrated by investigating their plasticization. Novel polyamide‐based and amorphous nanoparticles are synthesized by controlling their inner packing density. Water plasticization is evidenced by the decrease of the CDs glass transition temperature with increasing the hydration degree.
Elisa Sturabotti, Valerio Di Lisio, Lucia Cardo, Alessandro Camilli, Estela Moretón Alfonsín, Daniele Cangialosi, Amaia Iturrospe Ibarra, Arantxa Arbe, Maurizio Prato   +8 more
wiley   +1 more source

Data-Driven vs Machine Learning MPC: A Comparative Study in Robust Control Systems

Sir Syed University Research Journal of Engineering and Technology
This study systematically compares Data-Driven Model Predictive Control (DD-MPC) and Machine Learning-based MPC (ML-MPC) for controlling systems with unknown dynamics under stochastic disturbances.
Chandar Kumar, Ambreen Fatima, Chaman Lal, Muhammad Ali Noman, Syed Yasir Shah   +4 more
doaj   +1 more source