Nonlinear model-predictive control with disturbance rejection property using adaptive neural networks
type: Item
instance of: scholarly article
title: Nonlinear model-predictive control with disturbance rejection property using adaptive neural networks
zbMATH Open document ID: 1395.93260
author: Bahareh Vatankhah
author: Mohammad Farrokhi
published in: Journal of the Franklin Institute
publication date: 2018-08-16T00:00:00Z
Mathematics Subject Classification ID: 93C10
Mathematics Subject Classification ID: 93B40
Mathematics Subject Classification ID: 68T05
Mathematics Subject Classification ID: 93C40
Mathematics Subject Classification ID: 93C73
zbMATH DE Number: 6919449
zbMATH Keywords: nonlinear model-predictive control
zbMATH Keywords: disturbance rejection
zbMATH Keywords: adaptive neural networks
MaRDI profile type: Publication
full work available at URL: j.jfranklin.2017.06.005
OpenAlex ID: W2681964327
cites work: Model predictive control: recent developments and future promise
cites work: A novel model predictive controller for uncertain constrained systems
cites work: Echo state network based predictive control with particle swarm optimization for pneumatic muscle actuator
cites work: Robust constrained model predictive control of fast electromechanical systems
cites work: Adaptive model predictive control for constrained nonlinear systems
cites work: Composite adaptive disturbance observer based control and back-stepping method for nonlinear system with multiple mismatched disturbances
cites work: Adaptive compensation control of the quadrotor helicopter using quantum information technology and disturbance observer
cites work: An approximate inverse system for nonminimum-phase systems and its application to disturbance observer
cites work: On characterizations of the input-to-state stability property
cites work: Input-to-state stability for discrete-time nonlinear systems
cites work: On robust tracking with non-linear model predictive control
DOI: 10.1016/J.JFRANKLIN.2017.06.005
description: scientific article; zbMATH DE number 6919449