April 2022
Intermediate to advanced
304 pages
8h 12m
English
The smooth variable‐structure filter (SVSF) algorithm has been derived based on a stability theorem [97]. Inspired by the variable‐structure control (VSC) theory, the SVSF uses an inherent switching action to guarantee convergence of the estimated states to within a neighborhood of their true values. Similar to the mentioned Bayesian filters in the previous chapters, the SVSF has been formulated in a predictor–corrector form [56, 58, 62, 98]. Robustness against bounded uncertainties is an inherent characteristic of the VSC, which has been inherited by the SVSF [99]. The distinguishing features of the SVSF from other filters can be summarized as follows [97]: