Imagine you’re on a hill, flying a kite, and someone asks you to describe exactly what the kite is doing. “It’s over to the right, just above the treeline,” you might say, “and the wind is making it ...

Kalman filtering remains a cornerstone of state estimation in stochastic systems, enabling the real‐time integration of noisy measurements into dynamic system models. Originally developed for linear ...

This is a preview. Log in through your library . Abstract A parameter estimation algorithm is developed that can be used to estimate unknown time- or state-dependent delays and other parameters (e.g., ...

Electric vehicles (EVs) have emerged as a promising trend for future development. Serving as the core energy source for EVs, lithium-ion batteries offer advantages. Accurate SoC estimation is vital ...

Estimating equations which are not necessarily likelihood-based score equations are becoming increasingly popular for estimating regression model parameters. This paper is concerned with estimation ...