Composite Neural Learning Fault-Tolerant Control for Underactuated Vehicles With Event-Triggered Input
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Cybernetics"
DOI: 10.1109/tcyb.2020.3005800
Abstract: This article presents a novel composite neural learning fault-tolerant algorithm to implement the path-following activity of underactuated vehicles with event-triggered input. With the input event-triggered mechanism, the dominant superiority is to reduce the communication burden… read more here.
Keywords: fault tolerant; learning fault; event triggered; neural learning ... See more keywords
Online recorded data-based finite-time composite neural trajectory tracking control for underactuated MSVs
Sign Up to like & getrecommendations! Published in 2022 at "Frontiers in Neurorobotics"
DOI: 10.3389/fnbot.2022.1029914
Abstract: This paper presents an online recorded data-based composite neural finite-time control scheme for underactuated marine surface vessels (MSVs) subject to uncertain dynamics and time-varying external disturbances. The underactuation problem of the MSVs was solved by… read more here.
Keywords: time; control; finite time; online recorded ... See more keywords