This paper presents a new particle filter algorithm (MultiPDF) for state estimation of
nonlinear systems. The proposed method is a modification of the standard particle filter …

This paper proposes the realization of a soft sensor using an adaptive algorithm with
proportional correction of the gain coefficient for monitoring river water quality. This …

The article presents the algorithm that enables adaptive determination of the amplification
coefficient in the filter equation provided by Kalman. The method makes use of an estimation …

The paper presents a new approach to Hybrid Kalman filtering, composed of Extended
Kalman Filter and Unscented Kalman Filter. In known algorithms, the Unscented Kalman …

A very important branch of science in the noisy measurements environment is the state
estimations of dynamical systems. It is used, for example, in mobile and flying robots …

In this paper, algorithms of the state estimation of dynamical systems, using different types of
particle filters, have been presented. Three Particle Filter methods have been used …