Adaptive neural quantized control for fractional-order full-state constrained non-strict feedback systems subject to input fault and nonlinearity

In this work, an adaptive neural network (NN)-based quantized fault-tolerant controller (FTC) has been designed for incommensurate fractional-order (FO) nonlinear systems (NSs) in the non-strict feedback form subject to independent asymmetric time-varying full-state constraints, input quantization,...

Full description

Bibliographic Details

Published in:	Chaos, solitons and fractals Vol. 166; p. 112977
Main Authors:	Pishro, Aboozar, Shahrokhi, Mohammad, Mohit, Mohammaderfan
Format:	Journal Article
Language:	English
Published:	Elsevier Ltd 01.01.2023
Subjects:	Fault-tolerant quantized controller Fractional-order non-strict systems Incommensurate derivatives Neural network Quantized input State constraints Quantized input Fault-tolerant quantized controller Fractional-order non-strict systems Neural network Incommensurate derivatives State constraints
ISSN:	0960-0779, 1873-2887
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!