Results 1 to 10 of about 2,444,541 (290)
Small Gain Theorems for General Networks of Heterogeneous Infinite-Dimensional Systems [PDF]
SIAM Journal on Control and Optimization, 2021 We prove a small-gain theorem for interconnections of $n$ nonlinear heterogeneous input-to-state stable (ISS) control systems of a general nature, covering partial, delay and ordinary differential equations. Furthermore, for the same class of control systems, we derive small-gain theorems for asymptotic gain, uniform global stability and weak input-to ...
Andrii Mironchenko
exaly +4 more sources
Cross-residual knowledge graph learning for robust multi-trait gene–trait prioritization in rice [PDF]
Frontiers in Plant ScienceIntroductionPrioritizing genes associated with agronomic traits remains challenging because relevant evidence is distributed across heterogeneous biological resources and curated gene-trait associations are incomplete.MethodsWe formulate multi-trait crop
Jingchao Wang +8 more
doaj +2 more sources
Survey on the development of mimic defense in cyberspace:from mimic concept to “mimic+” ecology
网络与信息安全学报, 2022 Build upon the dynamic-heterogeneous-redundant architecture for multi-body execution, multi-mode ruling and multi-dimension reconstruction, cyberspace mimic defense (CMD) uses uncertain system to deal with the uncertain threat to cyberspace ubiquity.The ...
Hailong MA, Tao HU, Yiming JIANG, Yanze QU +1 more
doaj +3 more sources
Heterogeneous experience and constant-gain learning
Journal of Economic Dynamics and Control, 2023 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
John Duffy, Michael Shin
openaire +4 more sources
Heterogeneous Traffic Flow Detection Using CAV-Based Sensor With I-GAIN
IEEE Access, 2023 This study proposes using connected automatic vehicles (CAVs) as traffic flow detectors to collect and exchange traffic flow data for heterogeneous traffic management and control.
Bowen Gong +3 more
doaj +1 more source
Heterogeneity in individual expectations, sentiment, and constant-gain learning [PDF]
Journal of Economic Behavior & Organization, 2020 Abstract This paper uses adaptive learning to understand the heterogeneity of individual-level expectations. We exploit individual Survey of Professional Forecasters data on output and inflation forecasts. We endow all forecasters with the same information set that they would have as economic agents in a benchmark New Keynesian model. Forecasters are,
Stephen J. Cole, Fabio Milani
openaire +2 more sources
On the heterogeneous welfare gains and losses from trade [PDF]
Journal of Monetary Economics, 2020 How are the gains and losses from trade distributed across individuals within a country? First, we document that tradable goods constitute a larger fraction of expenditures for poor households. Second, we build a trade model with nonhomothetic preferences—to generate the documented relationship between tradable expenditure shares, income, and wealth ...
Daniel R. Carroll, Sewon Hur
openaire +2 more sources
Gains from Trade: Does Sectoral Heterogeneity Matter? [PDF]
Federal Reserve Bank of Dallas, Globalization and Monetary Policy Institute Working Papers, 2018 Abstract This paper assesses the quantitative importance of including sectoral heterogeneity in computing the gains from trade. Our framework draws from Caliendo and Parro (2015) and has sectoral heterogeneity along five dimensions, including the elasticity of trade to trade costs.
Rahul Giri, Kei-Mu Yi, Hakan Yilmazkuday
openaire +2 more sources
Variety Gains of Trade Integration in a Heterogeneous Firm Model [PDF]
SSRN Electronic Journal, 2010 The present paper studies the variety gains of regional integration in Asia. Applying a heterogenous firm model we are able to assess the gains arising from the increased product and consumer choice, which is not possible in trade models with representative firms.
d'Artis Kancs, Jan Van Hove
openaire +4 more sources
Unobserved heterogeneity in the productivity distribution and gains from trade
Canadian Journal of Economics/Revue canadienne d'économique, 2022 AbstractFinding a good parametric approximation to the productivity distribution is a problem of general interest. This paper argues that heterogeneity in productivity is best captured by finite mixture models (FMMs). FMMs build on the existence of unobserved subpopulations in the data.
Ruben Dewitte +3 more
openaire +2 more sources