Articles with "systems stochastic" as a keyword



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Stochastic analysis & discrete quantum systems

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Published in 2019 at "Nuclear Physics B"

DOI: 10.1016/j.nuclphysb.2019.114658

Abstract: We explore the connections between the theories of stochastic analysis and discrete quantum mechanical systems. Naturally these connections include the Feynman-Kac formula, and the Cameron-Martin-Girsanov theorem. More precisely, the notion of the quantum canonical transformation… read more here.

Keywords: discrete quantum; analysis discrete; stochastic analysis; systems stochastic ... See more keywords
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Stochastic Guarantees for Adaptive Energy Harvesting Systems

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Published in 2022 at "IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems"

DOI: 10.1109/tcad.2022.3198519

Abstract: Energy harvesting is increasingly used as a long-term energy supply for the Internet of Things, wireless sensor networks, and cyber-physical systems. However, the challenge of mitigating the variability of energy harvesting sources needs to be… read more here.

Keywords: energy harvesting; energy; adaptive energy; systems stochastic ... See more keywords
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An Optimal Filter for Singular Systems With Stochastic Multiplicative Disturbance

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Published in 2020 at "IEEE Transactions on Circuits and Systems II: Express Briefs"

DOI: 10.1109/tcsii.2020.3001596

Abstract: This brief proposes an optimal filtering algorithm for linear singular systems with stochastic multiplicative noise by using the second restricted equivalent transformation (SRET) to reduce computation load, avoid curse of dimensionality and improve precision. The… read more here.

Keywords: filter singular; optimal filter; singular systems; multiplicative disturbance ... See more keywords
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Adaptive Optimal Control of Networked Nonlinear Systems With Stochastic Sensor and Actuator Dropouts Based on Reinforcement Learning.

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Published in 2022 at "IEEE transactions on neural networks and learning systems"

DOI: 10.1109/tnnls.2022.3183020

Abstract: This article investigates the adaptive optimal control problem for networked discrete-time nonlinear systems with stochastic packet dropouts in both controller-to-actuator and sensor-to-controller channels. A Bernoulli model-based Hamilton-Jacobi-Bellman (BHJB) equation is first developed to deal with… read more here.

Keywords: control problem; control; systems stochastic; adaptive optimal ... See more keywords
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Observer-Based Consensus for Multiagent Systems Under Stochastic Sampling Mechanism

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Published in 2018 at "IEEE Transactions on Systems, Man, and Cybernetics: Systems"

DOI: 10.1109/tsmc.2017.2703137

Abstract: This paper is concerned with the consensus problem of general linear dynamic multiagent systems with stochastic sampling. In this paper, the sampling intervals randomly switch between two different values. The communication topology between agents is… read more here.

Keywords: systems stochastic; based consensus; consensus; observer based ... See more keywords