Aitken-Based Stochastic Gradient Algorithm for ARX Models with Time Delay
Sign Up to like & getrecommendations! Published in 2019 at "Circuits, Systems, and Signal Processing"
DOI: 10.1007/s00034-018-0998-y
Abstract: This paper proposes an Aitken-based stochastic gradient algorithm for ARX models with time delay. By using the redundant rule, the ARX model can be transformed into an augmented model. Based on the Aitken method, the… read more here.
Keywords: aitken based; stochastic gradient; gradient algorithm; based stochastic ... See more keywords
A new block matching algorithm based on stochastic fractal search
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DOI: 10.1007/s10489-018-1312-1
Abstract: Block matching algorithm is the most popular motion estimation technique, due to its simplicity of implementation and effectiveness. However, the algorithm suffers from a long computation time which affects its general performance. In order to… read more here.
Keywords: new block; block; matching algorithm; based stochastic ... See more keywords
Filter-based stochastic algorithm for global optimization
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DOI: 10.1007/s10898-020-00917-9
Abstract: We propose the general Filter-based Stochastic Algorithm (FbSA) for the global optimization of nonconvex and nonsmooth constrained problems. Under certain conditions on the probability distributions that generate the sample points, almost sure convergence is proved.… read more here.
Keywords: algorithm; stochastic algorithm; global optimization; based stochastic ... See more keywords
An Edge-based Stochastic Proximal Gradient Algorithm for Decentralized Composite Optimization
Sign Up to like & getrecommendations! Published in 2021 at "International Journal of Control, Automation and Systems"
DOI: 10.1007/s12555-020-0483-9
Abstract: Abstract In this patentan edge-based stochastic proximal gradient algorithm is developed to solve decentralized composite optimization problems involving a common non-smooth regulariza tion term over an undirected and connected network. Especially, when the decentralized composite… read more here.
Keywords: based stochastic; edge based; composite optimization; decentralized composite ... See more keywords
Extended Kalman filter based on stochastic epidemiological model for COVID-19 modelling
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DOI: 10.1016/j.compbiomed.2021.104810
Abstract: This paper presents a new stochastic-based method for modelling and analysis of COVID-19 spread. A new deterministic Susceptible, Exposed, Infectious, Recovered (Re-infected) and Deceased-based Social Distancing model, named SEIR(R)D-SD, is proposed by introducing the re-infection… read more here.
Keywords: covid spread; based stochastic; kalman filter; social distancing ... See more keywords
Interference modeling and analysis in 3-dimensional directional UAV networks based on stochastic geometry
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DOI: 10.1016/j.icte.2019.09.006
Abstract: Abstract In this paper, we model and characterize interference of directional unmanned aerial vehicle (UAV) networks based on stochastic geometry, where each UAV is equipped with a directional antenna and it communicates with another UAV that… read more here.
Keywords: uav networks; based stochastic; interference; geometry ... See more keywords
Scenario-based stochastic MPC for vehicle speed control considering the interaction with pedestrians
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DOI: 10.1016/j.ifacol.2020.12.2341
Abstract: Abstract A typical driver spends a lot of the driving time on roads shared with pedestrians and bicyclists. Unlike highway driving, when there are pedestrians and cyclists using the same space as cars, controlling the… read more here.
Keywords: mpc; scenario based; control; mpc vehicle ... See more keywords
Frame-based stochastic choice rule
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DOI: 10.1016/j.jmateco.2021.102553
Abstract: Abstract We consider an individual decision-making problem where the decision maker is subject to inattention. The source of this inattention is the frames with which the alternatives appear; leading to randomness in choice. We characterize… read more here.
Keywords: stochastic choice; frame based; based stochastic; choice ... See more keywords
Seismic Risk–Based Stochastic Optimal Control of Structures Using Magnetorheological Dampers
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DOI: 10.1061/(asce)nh.1527-6996.0000215
Abstract: AbstractMagnetorheological (MR) dampers are regarded as among the most promising control devices owing to their perfect dynamic damping behaviors. The operating efficiency of MR dampers, however, upon randomly excited structural systems remains a challenge because… read more here.
Keywords: based stochastic; control; seismic risk; stochastic optimal ... See more keywords
Correlation signal subset-based stochastic subspace identification for an online identification of railway vehicle suspension systems
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DOI: 10.1080/00423114.2019.1589534
Abstract: ABSTRACT Monitoring the condition of suspension systems is significant to ensure the safe operation of modern railway vehicles. For this purpose, an online modal identification scheme, denoted as Correlation Subset based Stochastic Subspace Identification (CoS-SSI)… read more here.
Keywords: subset based; suspension systems; ssi; based stochastic ... See more keywords
Computational framework for particle and spin simulations based on the stochastic Galerkin method.
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DOI: 10.1103/physreve.96.063301
Abstract: An implementation of the polynomial chaos expansion is introduced as a fast solver of the equations of beam and spin motion of charged particles in electromagnetic fields. We show that, based on the stochastic Galerkin… read more here.
Keywords: computational framework; based stochastic; method; stochastic galerkin ... See more keywords