Two‐stage unscented Kalman filter algorithm for fault estimation in spacecraft attitude control system

Gaussian sum pseudolinear Kalman filter for bearings‐only tracking

“…The similar situation applies to the improved algorithms based on EKF, including the modified polar coordinate EKF [4] and the range‐parameterised EKF [5]. Based on the idea of selecting a list of deterministic points to approximate the probability density distribution (PDD), non‐linear filtering algorithms such as the unscented Kalman filter [6], the cubature Kalman filter (CKF) [7], the quadrature Kalman filter [8] etc. demonstrate better stability and accuracy.…”

Directional expansion‐based fault diagnosis algorithm using orthotopic and ellipsoidal filtering

“…Therefore, it is of great practical significance to carry out effective fault diagnosis of systems and detect and analyse their faults in time. Common fault diagnosis methods are mainly divided into three categories: fault diagnosis based on analytical models [1, 2], fault diagnosis based on signal processing [3, 4], and fault diagnosis based on knowledge [5, 6]. Fault diagnosis based on analytical models is implemented in real time and does not require a large amount of data.…”

Contactless interactive control technology based on switching filtering algorithm

“…Nowadays, the laser radar is implemented in driverless cars (Ashrafiuon et al, 2017; Li et al, 2017), service robots (Luo and Lai, 2014), the AGV forklift (Lu et al, 2016), intelligent road traffic (Malikopoulos et al, 2018), and automated production lines, which indicates that it has an indispensable position in the artificial intelligence-based industry. At present, laser radars have the characteristics of fast scanning frequency and high precision, and they can be roughly divided into two categories: TOF (time of flight) radars (Chen et al, 2018) and triangular ranging radars (Yu and Fei, 2014).…”