Results 261 to 270 of about 148,046 (305)

Neural Network‐Based Runtime Monitoring and Control for Unknown Nonlinear Systems

open access: yesInternational Journal of Robust and Nonlinear Control, EarlyView.
ABSTRACT Real‐time system monitoring and stabilization become especially challenging when the system dynamics are unknown. This article introduces a novel design for monitoring and stabilizing unknown nonlinear systems with measurement noise. The design utilizes a generic modelling framework by decomposing the system into a known tunable linear ...
Jianglin Lan, Xianxian Zhao, Ron Patton
wiley   +1 more source

DBST-FL: Dynamic Behavioural and Semantic Trust for Robust Federated Learning in Industrial IoT. [PDF]

open access: yesSensors (Basel)
Alazab A   +6 more
europepmc   +1 more source

Deep Reinforcement Learning‐Based Control for Real‐Time Hybrid Simulation of Civil Structures

open access: yesInternational Journal of Robust and Nonlinear Control, EarlyView.
ABSTRACT Real‐time Hybrid Simulation (RTHS) is a cyber‐physical technique that studies the dynamic behavior of a system by combining physical and numerical components that are coupled through a boundary condition enforcer. In structural engineering, the numerical components are subjected to environmental loads that become dynamic displacements of the ...
Andrés Felipe Niño   +6 more
wiley   +1 more source

Effectiveness Assessment of Underwater Area Cruise Based on the ADC Method

open access: yesJournal of Field Robotics, EarlyView.
ABSTRACT Underwater area surveillance plays a crucial role in upholding national security, safeguarding strategic interests, and mitigating potential threats. Despite its significance, a notable gap persists in the availability of comprehensive models for assessing its effectiveness.
Qingwei Liang   +3 more
wiley   +1 more source

Machine learning‐driven advances in carbon‐based quantum dots: Opportunities accompanied by challenges

open access: yesResponsive Materials, EarlyView.
Machine learning provides a unifying framework to connect structure, fluorescence properties, and applications of carbon‐based quantum dots. This review highlights how data‐driven strategies enable fluorescence regulation, reveal underlying mechanisms, and accelerate the rational design of functional carbon dots.
Liangfeng Chen   +8 more
wiley   +1 more source

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