This paper provides a comparative analysis for robustness of the Kalman filter (KF), H∞ filter
derived using the game theory, and unbiased finite impulse response (UFIR) filter, which …

GPS/INS integrated system is very subject to uncertainties due to exogenous disturbances,
device damage, and inaccurate sensor noise statistics. Conventional Kalman filer has no …

Intent prediction of vulnerable road users (VRUs) has got some attention recently from the
research community, due to its critical role in the advancement of both advanced driving …

Driving motion simulators are widely used for their reliable, safe and cost-effective abilities to
replicate real vehicle driving experience for simulator drivers in virtual environment. As all …

The regeneration of the motion signals of a real vehicle is not physically possible because of
the workspace limitations of the platforms. The motion cueing algorithms (MCAs) are in …

The distributed state estimation problem is examined for a kind of nonlinear time-varying
stochastic systems through sensor networks (SNs) with randomly switching topologies as …

Counter-adversarial system design problems have lately motivated the development of
inverse Bayesian filters. For example, inverse Kalman filter (I-KF) has been recently …

This paper is concerned with the robust finite-horizon filter design problem for a class of two-
dimensional (2-D) time-varying systems with norm-bounded parameter uncertainties and …

This paper proposes a distributed robust Kalman filter for time-varying uncertain linear
multisensor systems subjected to stochastic uncertainties. A consensus algorithm is utilized …

The ideal air brake system is to provide accurate brake pressures, which ensures the normal
braking performance of high-speed trains. For the high-speed trains in China, a univariate …