Nonlinear state-space predictive control with on-line linearisation and state estimation
type: Item
instance of: scholarly article
title: Nonlinear state-space predictive control with on-line linearisation and state estimation
zbMATH Open document ID: 1347.93249
author: Maciej Ławryńczuk
published in: International Journal of Applied Mathematics and Computer Science
publication date: 2016-10-13T00:00:00Z
Mathematics Subject Classification ID: 93E10
Mathematics Subject Classification ID: 93E11
Mathematics Subject Classification ID: 93E25
Mathematics Subject Classification ID: 93C10
Mathematics Subject Classification ID: 93C55
zbMATH DE Number: 6638065
zbMATH Keywords: process control
zbMATH Keywords: model predictive control
zbMATH Keywords: nonlinear state-space models
zbMATH Keywords: extended Kalman filter
zbMATH Keywords: on-line linearisation
MaRDI profile type: Publication
full work available at URL: amcs-2015-0060
OpenAlex ID: W2403268094
cites work: Extension of LMS stability condition over a wide set of signals
cites work: Nonlinear Model Predictive Control: An Introductory Review
cites work: An extension of Newton-type algorithms for nonlinear process control
cites work: Input Constraints Handling in an MPC/Feedback Linearization Scheme
cites work: Nonlinear model-based control using second-order Volterra models
cites work: A Family of Model Predictive Control Algorithms With Artificial Neural Networks
cites work: Computationally efficient model predictive control algorithms. A neural network approach
cites work: Predictive control with constraints
cites work: Offset-free reference tracking with model predictive control
cites work: Model predictive control: recent developments and future promise
cites work: Combined Design of Disturbance Model and Observer for Offset-Free Model Predictive Control
cites work: Nonlinear model predictive control of a boiler unit: a fault tolerant control study
cites work: Advanced control of industrial processes. Structures and algorithms.
cites work: Supervisory predictive control and on-line set-point optimization
cites work: Disturbance modeling and state estimation for offset-free predictive control with state-space process models
cites work: Soft computing in model-based predictive control
DOI: 10.1515/AMCS-2015-0060
description: scientific article; zbMATH DE number 6638065