NDLI: Two adaptive approaches of nonlinear system control

Content Provider	IEEE Xplore Digital Library
Author	Samek, D. Chalupa, P.
Copyright Year	2008
Description	Author affiliation: Dept. of Production Eng., Tomas Bata Univ. in Zlin, Zlin (Samek, D.)
Abstract	Generally the artificial neural networks (ANN) are regarded as highly computational demanding method. The usage of ANN in model predictive control as an adaptive predictor is mostly impossible. The aim of this paper is to present and compare one possible way how to reduce computational costs of adaptive predictors based on artificial neural networks. This paper presents real-time system control by two adaptive control methods. The first method is based on the model predictive method with adaptive artificial neural network as a predictor. This artificial neural network offers interesting solution of the computation time problem while using artificial neural network as an adaptive (online) predictor. The second method is established on self-tuning approach. Both these methods are applied to a problem of control liquid level in interconnected tanks. Real-time experiments are performed using Amira DTS200 - three tank system. This system is characterized by non-linear behavior.
Starting Page	334
Ending Page	339
File Size	377734
Page Count	6
File Format	PDF
ISBN	9781424416875
DOI	10.1109/ISCCSP.2008.4537245
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-03-12
Publisher Place	Malta
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Real time systems Adaptive systems Artificial neural networks neural networks Nonlinear control systems Predictive models Control systems adaptive control Adaptive control Programmable control real-time systems Computer networks self-tuning control predictive control Nonlinear systems
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Adaptive neural predictive control for nonlinear systems with time-delay

Adaptive predictive control of nonlinear time-varying systems using neural networks

Neural network based adaptive nonlinear model inversion control of a twin rotor system in real time

Adaptive Tracking Control of Nonlinear Systems Using Neural Networks

Self-tuning neurocontrol of nonlinear systems using localized polynomial networks with CLI cells

Self Tuning Control of Nonlinear Systems Based on Artificial Neural Network Models

Adaptive Predictive Control Using Neural Network for a Class of Pure-Feedback Systems in Discrete Time

A nonparametric neural networks for adaptive real-time control

ANN based adaptive controller tuned by RTRL algorithm for non-linear systems

Two adaptive approaches of nonlinear system control

Similar Documents

Adaptive neural predictive control for nonlinear systems with time-delay

Adaptive predictive control of nonlinear time-varying systems using neural networks

Neural network based adaptive nonlinear model inversion control of a twin rotor system in real time

Adaptive Tracking Control of Nonlinear Systems Using Neural Networks

Self-tuning neurocontrol of nonlinear systems using localized polynomial networks with CLI cells

Self Tuning Control of Nonlinear Systems Based on Artificial Neural Network Models

Adaptive Predictive Control Using Neural Network for a Class of Pure-Feedback Systems in Discrete Time

A nonparametric neural networks for adaptive real-time control

ANN based adaptive controller tuned by RTRL algorithm for non-linear systems

Two adaptive approaches of nonlinear system control