The trend of AI researchers developing new, small open source generative models that outperform far larger, proprietary peers continued this week with yet another staggering advancement. The goal is ...
Finite-Time Parameter Estimation of Separable Nonlinearly Parameterized Regressions With Application
Abstract: This letter addresses the finite-time parameter estimation problem for separable nonlinearly parameterized regression equations (NLPREs). The nonlinear vector function of unknown parameters ...
Abstract: Kalman filtering is an optimal estimation method based on minimum variance estimation, which is suitable for linear systems, and in actual operation, vehicle power batteries have strong ...
Adaptive compensation for multi-axial real-time hybrid simulation via nonlinear parameter estimation
For Real-time hybrid simulation (RTHS) to be stable and accurate, it is essential to address the time desynchronization issue between the numerical and physical substructures. Desynchronization is ...
ABSTRACT: The hazard produced by natural phenomena on infrastructure and urban populations has been widely studied in the last 50 years. Researchers have recognised that the real danger posed by these ...
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