Browsing NTNU Open by Author "Erofeeva, Victoria"
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Accelerated Simultaneous Perturbation Stochastic Approximation for Tracking Under Unknown-but-Bounded Disturbances
Erofeeva, Victoria; Granichin, Oleg; Tursunova, Munira; Sergeenko, Anna; Jiang, Yuming (Peer reviewed; Journal article, 2022)In this paper, we propose an accelerated version of Simultaneous Perturbation Stochastic Approximation (Accelerated SPSA). This algorithm belongs to the class of methods used in derivative-free optimization and has proven ... -
Consensus-based Distributed Algorithm for Multisensor-Multitarget Tracking under Unknown-but-Bounded Disturbances
Erofeeva, Victoria; Granichin, Oleg; Ivanskiy, Yury; Jiang, Yuming; Proskurnikov, Anton; Sergeenko, Anna (Peer reviewed; Journal article, 2020)We consider a dynamic network of sensors that cooperate to estimate parameters of multiple targets. Each sensor can observe parameters of a few targets, reconstructing the trajectories of the remaining targets via interactions ... -
Distributed Tracking Via Simultaneous Perturbation Stochastic Approximation-Based Consensus Algorithm
Erofeeva, Victoria; Granichin, Oleg; Amelina, Natalia; Ivanskiy, Yury; Jiang, Yuming (Chapter, 2019)Networked systems comprised of multiple nodes with sensing, processing, and communication capabilities are able to provide more accurate estimates of some state of a dynamic process through communication between the network ... -
Simultaneous Perturbation Stochastic Approximation-based Consensus for Tracking under Unknown-but-Bounded Disturbances
Granichin, Oleg; Erofeeva, Victoria; Ivanskiy, Yury; Jiang, Yuming (Peer reviewed; Journal article, 2020)We consider a setup where a distributed set of sensors working cooperatively can estimate an unknown signal of interest, whereas any individual sensor cannot fulfil the task due to lack of necessary information diversity. ...