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Skeletal stochastic differential equations for superprocesses
(Cambridge Univ., 2020)
It is well understood that a supercritical superprocess is equal in law to a discrete Markov branching process whose genealogy is dressed in a Poissonian way with immigration which initiates subcritical superprocesses. The ...
Automatic determination of the learning rate for multivariate and multinomial regression models
Throughout the years, artificial intelligence has developed into a widely researched and applied field, as a result of the significant advancements in technology and the expansion in computer resources. Artificial intelligence ...
A variational shape optimization approach for image segmentation with a Mumford-Shah functional
(Society for Industrial and Applied Mathematics, 2008-12)
We introduce a novel computational method for a Mumford-Shah functional, which decomposes a given image into smooth regions separated by closed curves. Casting this as a shape optimization problem, we develop a gradient ...
Adaptive Model Predictive Current Control for PMLSM Drive System
(2023-04-01)
This article proposes an adaptive model predictive current control (AM-MPCC) for surface-mounted permanent magnet linear synchronous motor systems to simultaneously enhance the robustness against permanent magnet flux, ...
An augmented filled function for global nonlinear integer optimization
(Springer, 2020-10)
The problem of finding global minima of nonlinear discrete functions arises in many fields of practical matters. In recent years, methods based on discrete filled functions have become popular as ways of solving these sort ...
Mixed order robust adaptive control for general linear time invariant systems
(Elsevier, 2018-05)
We provide a solution to the adaptive control problem of an unknown linear system of a given derivation order, using a reference model or desired poles defined in a possibly different derivation order and employing continuous ...
Interior-exterior point method with global convergence strategy for solving the reactive optimal power flow problem
(Elsevier B.V., 2015-03-01)
This paper proposes a predictor-corrector primal-dual modified log-barrier interior-exterior point method with global convergence and cubic fitting strategies for solving the Reactive Optimal Power Flow (ROPE) problem. The ...