Probabilistic constrained Bayesian inversion for transpiration cooling
Sign Up to like & getrecommendations! Published in 2022 at "International Journal for Numerical Methods in Fluids"
DOI: 10.1002/fld.5135
Abstract: To enable safe operations in applications such as rocket combustion chambers, the materials require cooling to avoid material damage. Here, transpiration cooling is a promising cooling technique. Numerous studies investigate possibilities to simulate and evaluate… read more here.
Keywords: constrained bayesian; transpiration; bayesian inversion; probabilistic constrained ... See more keywords
Sample-Based Neural Approximation Approach for Probabilistic Constrained Programs.
Sign Up to like & getrecommendations! Published in 2021 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2021.3102323
Abstract: This article introduces a neural approximation-based method for solving continuous optimization problems with probabilistic constraints. After reformulating the probabilistic constraints as the quantile function, a sample-based neural network model is used to approximate the quantile… read more here.
Keywords: based neural; sample based; neural approximation; probabilistic constrained ... See more keywords
Probabilistic-Constrained Distributed Set-Membership Estimation Over Sensor Networks: A Dynamic Periodic Event-Triggered Approach
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Network Science and Engineering"
DOI: 10.1109/tnse.2022.3201395
Abstract: This article is concerned with the event-triggered probabilistic-constrained distributed set-membership estimation problem for a discrete-time nonlinear system over sensor networks. For saving communication resource, a novel discrete-time dynamic periodic event-triggered mechanism (ETM) is first developed… read more here.
Keywords: event triggered; probabilistic constrained; set membership; sensor ... See more keywords