Results 111 to 120 of about 7,728,347 (284)
Global asymptotic stability of nonlinear cascade systems
Applied Mathematics Letters, 2002 Consider the nonlinear cascade system \((*)\) \(dx/dt = f(x,y)\), \(dy/dt = g(y),\) where \(f:\mathbb{R}^n \times \mathbb{R}^m \rightarrow \mathbb{R}^n\) and \(g: \mathbb{R}^m \rightarrow \mathbb{R}^m\) are assumed to be \(C^1\)-functions and to satisfy \(f(0,0)=0\), \(g(0)=0.\) The author gives a short proof of a known result on the global asymptotic ...
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Global asymptotic stability in discrete systems
Journal of Mathematical Analysis and Applications, 1989 Global asymptotic stability results are given for difference equations \(x_{i+1}=T(x_ i)\) where \(T: {\mathbb{R}}^ n\to {\mathbb{R}}^ n\) is continuous.
Wu, Jinn-Wen, Brown, David P
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Do More Open Economies Export Less Diversely in Brazilian Agribusiness?
Agribusiness, EarlyView.ABSTRACT This paper asks whether municipalities with a larger export‐to‐revenue ratio display a more concentrated bundle of exported goods in Brazilian agribusiness. Recent advances in export imputation for Brazilian municipalities allow for an analysis of the concentration profile of each municipality and its association with export openness.
Alan Leal, Michelle Marcia Viana Martins
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Asymptotic Stability and Asymptotic Synchronization of Memristive Regulatory-Type Networks
Advances in Mathematical Physics, 2017 Memristive regulatory-type networks are recently emerging as a potential successor to traditional complementary resistive switch models. Qualitative analysis is useful in designing and synthesizing memristive regulatory-type networks.
Jin-E Zhang
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Value of Information of Improved Traceability in Fresh Produce Markets
Agribusiness, EarlyView.ABSTRACT Traceability plays an important role in promoting a safe food supply by fostering transparent information exchange along the food supply chain. New technological innovations have the potential to improve traceability outcomes, as greater transparency along the food supply chain can aid in pinpointing precise origins of the contamination ...
Kelsey Vourazeris +2 more
wiley +1 more source
Machine learning driven many‐objective moving horizon scheduling optimization
AIChE Journal, EarlyView.Abstract Industrial electrification can decarbonize chemical manufacturing, but it exposes operations to volatile electricity prices and carbon intensities. This work develops a machine learning‐enhanced many‐objective moving horizon scheduling framework that predicts objective correlation groupings from 48‐hour price and emission‐intensity profiles ...
Hongxuan Wang, Andrew Allman
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Uniting Attitude Estimation With Global Asymptotic Stability
IEEE Transactions on Instrumentation and Measurement, 2023 Xin Tong, Junyan Yan, Shing Shin Cheng
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Asymptotic stability, an in-depth treatment
, 2012 This chapter defines local pre-asymptotic stability for a compact (closed and bounded) set and studies its properties for systems that are nominally well-posed or well-posed.
Rafal Goebel +2 more
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Embedded Morgan Fingerprints for More Efficient Molecular Property Predictions With Machine Learning
Advanced Intelligent Discovery, EarlyView.High dimensionality of Morgan fingerprints causes overfitting and slow training. Embedded Morgan Fingerprint (eMFP) compresses this encoding while keeping key structural information intact. Tested on five regression models across three databases for HOMO–LUMO gap prediction, eMFP outperforms standard fingerprints, training faster on large, high ...
Emilio Nuñez‐Andrade +4 more
wiley +1 more source
A Unifying Approach to Self‐Organizing Systems Interacting via Conservation Laws
Advanced Intelligent Discovery, EarlyView.The article develops a unified way to model and analyze self‐organizing systems whose interactions are constrained by conservation laws. It represents physical/biological/engineered networks as graphs and builds projection operators (from incidence/cycle structure) that enforce those constraints and decompose network variables into constrained versus ...
F. Barrows +7 more
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