Abstract: This letter addresses the finite-time parameter estimation problem for separable nonlinearly parameterized regression equations (NLPREs). The nonlinear vector function of unknown parameters ...

Due to the electrification megatrend, estimating battery model parameters using impedance data is of great interest, since typically battery model parameters are estimated using time domain data, and ...

Abstract: Considering total disturbances, i.e., parameter variation, model error, and load mutation, an adaptive active disturbance rejection control (adaptive ADRC) method is proposed to regulate the ...

ABSTRACT: This paper aims to study the GARCH-X model based on high-frequency data. Building upon the existing research on the selection criteria for optimal volatility representation and parameter ...

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 ...

CasADi is a symbolic framework for numeric optimization implementing automatic differentiation in forward and reverse modes on sparse matrix-valued computational graphs. It supports self-contained ...

Introduction: Fuel cell technology is a harbinger of the future for generating electricity due to their high efficiency and low emissions achieved through the direct conversion of chemical energy into ...

URL parameters can create infinite URLs, causing crawl inefficiencies. E-commerce sites are most affected by this issue. Google is exploring solutions, including new algorithms and improved ...