Results 81 to 90 of about 7,757 (261)

Numerical benchmarking of dual decomposition-based optimization algorithms for distributed model predictive control

Results in Control and Optimization
This paper presents a benchmark study of dual decomposition-based distributed optimization algorithms applied to constraint-coupled model predictive control problems.
Vassilios Yfantis, Achim Wagner, Martin Ruskowski   +2 more
doaj   +1 more source

Sonified Signals From a Compact FT‐ICR Instrument: A Feasibility Study. I—Data Mapping to an Equal‐Tempered Chromatic Scale

Rapid Communications in Mass Spectrometry, EarlyView.
ABSTRACT Rationale Ions trapped within a Penning cell (ICR) travel periodic orbits whose frequencies are dependent on their mass‐to‐charge ratio and the value of the magnetic field passing through the trap. Fourier transformation (FT‐ICR) decomposes the signal induced in the detection circuit by the rotation of the ions in the cell after the ...
Patrick Arpino, Michel Heninger
wiley   +1 more source

Machine Learning in Quasi-Newton Methods

Axioms
In this article, we consider the correction of metric matrices in quasi-Newton methods (QNM) from the perspective of machine learning theory. Based on training information for estimating the matrix of the second derivatives of a function, we formulate a quality functional and minimize it by using gradient machine learning algorithms.
Vladimir N. Krutikov, Elena M. Tovbis, Predrag S. Stanimirovic, Lev Kazakovtsev, Darjan Karabasevic   +4 more
openaire   +2 more sources

Hexapod Locomotion Across Structured and Unstructured Terrains: A Data‐Driven Review of Modeling, Control, and Validation

Journal of Field Robotics, EarlyView.
ABSTRACT The design of a hexapod is complex and requires integration between kinematic models, control systems, and sensing. Existing literature has reviewed these sub‐systems in isolation. Since 2021, there has been no review of the field despite significant advancements in soft soil, lunar traversal, and artificial intelligence.
Akhil Rampersad, Bashan Naidoo
wiley   +1 more source

Machine learning‐driven advances in carbon‐based quantum dots: Opportunities accompanied by challenges

Responsive Materials, EarlyView.
Machine learning provides a unifying framework to connect structure, fluorescence properties, and applications of carbon‐based quantum dots. This review highlights how data‐driven strategies enable fluorescence regulation, reveal underlying mechanisms, and accelerate the rational design of functional carbon dots.
Liangfeng Chen, Siwei Yang, Xiangqian Cui, Ziheng Liu, Hang Wang, Yongqiang Li, Peng He, Miao Wang, Guqiao Ding   +8 more
wiley   +1 more source

Perched groundwater simulation using the picard iteration‐based always active cell method

River, EarlyView.
Abstract Aquitards within the vadose zone impede vertical infiltration, leading to the formation of saturated perched groundwater. Perched groundwater flows laterally along aquitards, resulting in a heterogeneous spatial distribution of groundwater recharge that significantly influences groundwater formation and evolution.
Wen Lu, Chuiyu Lu, Weichen Wu, Zhenjiang Wu, Wenjia Zhang, Qingyan Sun, Chu Wu, Lingjia Yan, Meng Ma, Rong Liu   +9 more
wiley   +1 more source

Minimizing electric vehicle charging costs in the microgrid using the BFGS Quasi-Newton Method [PDF]

E3S Web of Conferences
Electric vehicles (EVs) offer a compelling solution for mitigating pollution, addressing environmental alterations, and enhancing energy security.
Badugu Jayababu, Sandhya G., Nageswarareddy G., Kumar K. Vimala   +3 more
doaj   +1 more source

Key Technical Fields and Future Outlooks of Space Manipulators: A Survey

SmartBot, EarlyView.
This paper systematically reviews the technological development of space manipulators, emphasizing the unique challenges posed by space environments. It examines four areas: structural design, modeling, planning, and control, while introducing typical ground test platforms.
Gang Chen, Zeyuan Huang, Ying Yan, Xiaokang An, Zhikai Zhao, Jirong Lin, Xiangrong Zhao, Xianyuan Gao, Junyi Zong, Xuewen Jia, Zhipeng Yao, Jianliang Liao, Ning Ji   +12 more
wiley   +1 more source

Material‐Dependent Functionalization of CVD‐Grown TMDC Monolayers Probed by Vibrational Nanospectroscopy

Small, EarlyView.
PiFM‐led investigation of material‐specific electrochemical aryl diazonium reduction on 2D transition metal dichalcogenide MoSe2‐WSe2 lateral heterostructure monolayers, with mechanisms explained by molecular dynamics simulations. ABSTRACT Understanding the molecular‐level mechanisms governing covalent functionalization of two‐dimensional ...
Maziar Jafari, Amir Khojastehnezhad, Seyed Faridedin Rafie, Andrey Krayev, Nidal Abu‐Zahra, Mohamed Siaj   +5 more
wiley   +1 more source

The Computation of Quasiterminator Orbits in Asteroid Exploration Based on the Quasi-Newton Method

International Journal of Aerospace Engineering
This paper investigates the computational methods of global mapping quasiterminator orbits in asteroid exploration missions. Quasiterminator orbits can serve as a unified term for terminator orbits and their related trajectories, encompassing certain ...
Qian Wang, Yuzhi Wang, Zihao Yao, Shunli Li   +3 more
doaj   +1 more source