Cooperative Adaptive Iterative Learning Fault-Tolerant Control Scheme for Multiple Subway Trains.
Sign Up to like & getrecommendations! Published in 2020 at "IEEE transactions on cybernetics"
DOI: 10.1109/tcyb.2020.2986006
Abstract: In this article, a cooperative adaptive iterative learning fault-tolerant control (CAILFTC) algorithm with the radial basis function neural network (RBFNN) is proposed for multiple subway trains subject to the time-iteration-dependent actuator faults by using the… read more here.
Keywords: subway trains; subway; cooperative adaptive; adaptive iterative ... See more keywords
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
Iterative learning fault-tolerant control for discrete-time nonlinear systems subject to stochastic actuator faults
Sign Up to like & getrecommendations! Published in 2022 at "Transactions of the Institute of Measurement and Control"
DOI: 10.1177/01423312211072207
Abstract: This paper is concerned with an iterative learning fault-tolerant control strategy for discrete-time nonlinear systems where actuator faults arbitrarily occur. First, the stochastic faults occurring in multiplicative and additive manner are considered. Then, statistical behaviors… read more here.
Keywords: time; control; actuator; iterative learning ... See more keywords