Results 51 to 60 of about 133,201 (197)

Emerging single‐element ferroelectrics: From theory to experiment

InfoMat, EarlyView.
This review explores recent developments in single‐element ferroelectrics, covering mechanisms of ferroelectric behavior, their crystal structures, key preparation methods, ferroelectric performance characteristics, and promising device applications in field‐effect transistors, photodetectors, and visual perceptrons.
Run Zhao, Yuhang Zhang, Chen‐Min Dai, Fan Li, Jinlei Zhang, Ju Gao, Yucheng Jiang, Cheng‐Wei Qiu   +7 more
wiley   +1 more source

Learning the Kernel Matrix with Low-Rank Multiplicative Shaping

AAAI Conference on Artificial Intelligence, 2012
Selecting the optimal kernel is an important and difficult challenge in applying kernel methods to pattern recognition. To address this challenge, multiple kernel learning (MKL) aims to learn a kernel from a combination of base kernel functions that ...
Tomer Levinboim, Fei Sha
semanticscholar   +1 more source

An ultraviolet–visible spectroscopy system for studying real‐time pressure effects on enzyme activity

Limnology and Oceanography: Methods, EarlyView.
Abstract Investigations of hydrostatic pressure effects on microbial enzymatic processing are challenging but critical for understanding element cycling in the world's oceans. In this study, we developed and tested a stainless‐steel pressure cell capable of withstanding up to 110 MPa of hydrostatic pressure (equivalent to ~ 11,000 m depth), featuring ...
Maria Papadimitraki, Urban Wünsch, John Paul Balmonte, Mathias Middelboe, Colin A. Stedmon, Karl M. Attard, Ronnie N. Glud   +6 more
wiley   +1 more source

Impact of Packaging and Recycling Systems on Material Recirculation: A Stage‐Decomposition Model

Packaging Technology and Science, EarlyView.
A system‐level view emerges from decomposing recycling into four stages (participation, collection, sorting and process yield), diagnosing constraints and targeting interventions. Cumulative equivalent uses (CEUs) quantify long‐term retention, revealing marginal improvements at high baselines generate disproportionately larger gains than low‐baseline ...
Diogo Figueirinhas, Daniel Hellström, Henrik Pålsson, Yulia Vakulenko   +3 more
wiley   +1 more source

Output Feedback Design for Parameter Varying Systems Subject to Persistent Disturbances and Control Rate Constraints

International Journal of Robust and Nonlinear Control, EarlyView.
ABSTRACT This paper develops a framework for designing output feedback controllers for constrained linear parameter‐varying systems that experience persistent disturbances. We specifically propose an incremental parameter‐varying output feedback control law to address control rate constraints, as well as state and control amplitude constraints.
Jackson G. Ernesto, Eugênio B. Castelan, Walter Lucia   +2 more
wiley   +1 more source

A generalization of multiple Wright-convex functions via randomization

Journal of Mathematical Analysis and Applications, 2012
The author considers a general class of nonnegative real functions, which are generalizations of \(n\)-Wright-convex functions introduced by \textit{A. Gilányi} and \textit{Zs. Páles} [Math. Inequal. Appl. 11, No. 2, 271--282 (2008; Zbl 1141.26304)], and studied also by \textit{Gy. Maksa} and \textit{Zs. Páles} [J. Math. Anal. Appl. 359, No.
openaire   +2 more sources

Periodic Scenario Trees: A Novel Framework for Robust Periodic Invariance and Stabilization of Constrained Uncertain Linear Systems

International Journal of Robust and Nonlinear Control, EarlyView.
ABSTRACT This work proposes a new framework for stabilizing uncertain linear systems and for determining robust periodic invariant sets and their associated control laws for constrained uncertain linear systems. Necessary and sufficient conditions for stabilizability by periodic controllers are stated and proven using finite step Lyapunov functions for
Yehia Abdelsalam, Sankaranarayanan Subramanian, Sebastian Engell   +2 more
wiley   +1 more source

Distributed Optimization of Finite Condition Number for Laplacian Matrix in Multi‐Agent Systems

International Journal of Robust and Nonlinear Control, EarlyView.
ABSTRACT This paper addresses the distributed optimization of the finite condition number of the Laplacian matrix in multi‐agent systems. The finite condition number, defined as the ratio of the largest to the second smallest eigenvalue of the Laplacian matrix, plays an important role in determining the convergence rate and performance of consensus ...
Yicheng Xu, Faryar Jabbari
wiley   +1 more source

The role of identification in data‐driven policy iteration: A system theoretic study

International Journal of Robust and Nonlinear Control, EarlyView.
Abstract The goal of this article is to study fundamental mechanisms behind so‐called indirect and direct data‐driven control for unknown systems. Specifically, we consider policy iteration applied to the linear quadratic regulator problem. Two iterative procedures, where data collected from the system are repeatedly used to compute new estimates of ...
Bowen Song, Andrea Iannelli
wiley   +1 more source

A Cascaded Strategy With Embodied Artificial Intelligence: Forward Kinematics Solutions for CCRobot‐S

Journal of Field Robotics, EarlyView.
ABSTRACT This paper presents a novel cable‐climbing mechanism: the Collaborative Climbing Robot Squad (CCRobot‐S), a variant of Reconfigurable Cable‐Driven Parallel Robots (R‐CDPR), specifically designed for the inspection and maintenance of stay cables.
Zhenliang Zheng, Yongyuan Xu, Xuchun He, Tin Lun Lam, Ning Ding   +4 more
wiley   +1 more source