We propose a new robust recursive fixed-interval smoother for nonlinear systems under non-
Gaussian process and measurement noises, ie, the nominal Gaussian noise is polluted by …

Disturbance observers have been attracting continuing research efforts and are widely used
in many applications. Among them, the Kalman filter-based disturbance observer is an …

This paper explores a linear state estimation problem in non‐Gaussian setting and suggests
a computationally simple estimator based on the maximum correntropy criterion Kalman …

In this paper, we investigate the distributed robust state estimation of non-Gaussian systems
under unknown deception attacks with the imprecise constraint information. Leveraging the …

Non-Gaussian noise may have a negative impact on the performance of the Kalman filter
(KF), due to its adoption of only second-order statistical information. Thus, KF is not first …

This paper investigates the online identification method of the unsteady aerodynamics in the
post‐stall manoeuvres. The main unsteady features are hysteresis and fast time varying due …

Non-Gaussian noise processing is difficult in dynamics systems, and smoothing plays an
important role for state estimation. As an optimization criterion in information theoretic …

Kalman filter (KF) has been widely used in data filtering and smoothing applications.
However, it is generally limited by the requirement of white-Gaussian noise. In practical …

Recently, lower-limb exoskeletons have demonstrated the ability to enhance humanmobility
and walking efficiency for both healthy subjects and patients. However, thistechnology is …