Results 131 to 140 of about 94,126,272 (260)

Stability and Performance Analysis of Single-Step FCS-MPC System Based on Regional ISS Theory

Mathematics
In recent years, finite-control-set model predictive control (FCS-MPC) has attracted significant attention in power electronic converter control, resulting in substantial research advancements.
Weiguang Hu, Long Chen, Zhangyi Wang
doaj   +1 more source

What Explains Racial Differences in Farm Succession Planning? Evidence From Decomposition and Counterfactual Analysis

Agribusiness, EarlyView.
ABSTRACT This paper examines racial differences in farm succession planning using survey data from Tennessee farmers. While observed differences between White and Black farmers are small, decomposition and counterfactual analyses show that structural characteristics, particularly farm size, would predict higher succession planning among White farmers ...
Abdelaziz Lawani, Anna‐Liisa Ihuhwa, Armine Poghosyan   +2 more
wiley   +1 more source

Input-to-state stability for discrete-time nonlinear systems

, 2001
: In this paper the input-to-state stability (iss) property is studied for discrete-time nonlinear systems. We show that many iss results for continuoustime nonlinear systems in earlier papers (Sontag, 1989; Sontag, 1990; Sontag and Wang, 1996; Jiang et ...
Zhong-ping Jiang, Yuan Wang, Eduardo Sontag   +2 more
core  

A characterization of integral input-to-state stability [PDF]

, 2000
-The notion of input-to-state stability (ISS) is now recognized as a central concept in nonlinear systems analysis. It provides a nonlinear generalization of finite gains with respect to supremum norms and also of finite 2 gains.
Eduardo D Sontag, Yuan Wang, David Angeli   +2 more
core  

Does Contract Farming Reduce Pesticide Use? Panel Data Evidence From Smallholder Farmers in China

Agribusiness, EarlyView.
ABSTRACT The inappropriate and excessive use of pesticides poses a major threat to human and ecosystem health in the agri‐food sector. While existing studies have examined the potential of contract farming to address this issue, most have focused on large‐scale farms and relied on small or transactional datasets, often leaving the role of crop‐specific
Zhihui Liang, Shan Jin, Matthew Gorton
wiley   +1 more source

Comparison of DeePMD, MTP, GAP, ACE and MACE Machine‐Learned Potentials for Radiation‐Damage Simulations: A User Perspective

Advanced Intelligent Discovery, EarlyView.
The authors evaluated six machine‐learned interatomic potentials for simulating threshold displacement energies and tritium diffusion in LiAlO2 essential for tritium production. Trained on the same density functional theory data and benchmarked against traditional models for accuracy, stability, displacement energies, and cost, Moment Tensor Potential ...
Ankit Roy, Ram Devanathan, Sarah Allec, Giridhar Nandipati, Andrew M. Casella, David J. Senor, Duane D. Johnson, Ganesh Balasubramanian, Ayoub Soulami   +8 more
wiley   +1 more source

Abstract Lyapunov Conditions for Input-to-State Stability of Impulsive Systems ⋆

, 2008
This paper introduces appropriate concepts of input-to-state stability (ISS) and integral-ISS for impulsive systems, i.e., dynamical systems that evolve according to ordinary differential equations most of the time, but occasionally exhibit ...
João P. Hespanha, Daniel Liberzon B, Andrew R. Teel A, Andrew R. Teel, João P. Hespanha A, Daniel Liberzon   +5 more
core   +1 more source

A Multimodal Intelligent System for Human Digital Twin Simulation with Continuous Kinematic Data Tracking, Biometric Prognosis, and Cognitive State Feedback in Industrial Environments

Advanced Intelligent Discovery, EarlyView.
This article implements a unified human digital twin framework that integrates cutting edge actuation, sensing, simulation, and bidirectional feedback capability. The approach includes integrating multimodal sensing, AI, and biomechanical simulation into one compact system.
Tajbeed Ahmed Chowdhury, Sebastian Gratz‐Kelly, Eric Wagner, Paul Motzki, Martina Lehser   +4 more
wiley   +1 more source

A Critical Assessment of Bonding Descriptors for Predicting Materials Properties

Advanced Intelligent Discovery, EarlyView.
The impact of new bonding descriptors in machine learning models for predicting material properties is assessed. Improvements are validated using significance tests, and new, intuitive descriptors for screening lattice thermal conductivity and projected force constants are introduced.
Aakash Ashok Naik, Nidal Dhamrait, Katharina Ueltzen, Christina Ertural, Philipp Benner, Gian‐Marco Rignanese, Janine George   +6 more
wiley   +1 more source

Materials Representation Learning Based on a Material–Motif Network and Heterogeneous Graphs

Advanced Intelligent Discovery, EarlyView.
Structure motifs in materials are used to construct a bipartite material–motif network that links each material to its constituent motifs and establishes connectivity among materials sharing common motifs. Network analysis reveals material clusters associated with different functional applications and supports motif‐guided screening of materials.
Anoj Aryal, Weiyi Gong, Huta Banjade, Qimin Yan   +3 more
wiley   +1 more source