Tactile sensing represents a valuable source of information in robotics for perception of the state of objects and their properties. Modern soft tactile sensors allow perceiving orthogonal forces and, ...

Abstract: The Kalman filter is another one of the real‐time computational algorithms for state estimation. This chapter introduces mathematical models used in the Kalman filter followed by a ...

Gross error interference or noise statistical deviation is the main factor that leads to the accuracy deterioration of extended Kalman filter (EKF) in estimating the ...

Abstract: Accurate parameter identification and state of charge prediction of lithium battery model are the guarantees for the healthy operation of batteries. This paper presents a state of charge ...

This article compares several estimation methods for nonlinear stochastic differential equations with discrete time measurements. The likelihood function is computed by Monte Carlo simulations of the ...

This article offers an elaborate description of the Kalman filter code employed in the active control system. Conventional active noise management methods usually employ an adaptive filter, such as ...

This is a preview. Log in through your library . Abstract In this paper, we discuss the Kalman filter for state estimation in noisy linear discrete-time dynamical systems. We give an overview of its ...