NDLI: Neural network adaptive control for a class of nonlinear systems based on hyperstability

Content Provider	IEEE Xplore Digital Library
Author	Liu Xiaohe Su Hang Liu Lihua Zhang yaohui
Copyright Year	2008
Description	Author affiliation: Sch. of Autom., Beijing Inf. Sci. & Technol. Univ., Beijing (Liu Xiaohe; Su Hang; Liu Lihua; Zhang yaohui)
Abstract	This paper discussed the neural network in the application of nonlinear system adaptive control. For a typical class of nonlinear system, A BP neural network is designed to control the system based on hyperstability. The nonlinear link was eliminated by introducing its inverse model, for transforming the nonlinearity into a linear system. The neural network controllerpsilas purpose is to optimize the effect on tracing velocity and make the output of controlled object closing to the one of reference model. Satisfactory results have been achieved by using MATLAB simulation on the model for three-phase electrode regulator system of arc furnace. The simulation and analysis shows that neural network adaptive control system is more effective than the traditional PID system, and guarantees the system has a better dynamic quality.
Starting Page	47
Ending Page	50
File Size	260289
Page Count	4
File Format	PDF
ISBN	9787900719706
DOI	10.1109/CHICC.2008.4605307
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-07-16
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute Of Intelligence M&C Technical Of KMUST
Subject Keyword	Inverse problems Inverse model Adaptation model Nonlinear system Artificial neural networks Stability analysis Model-reference adaptive control Neural network Mathematical model Nonlinear systems Adaptive control
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

Multi-model adaptive control for a class of nonlinear system based on neural networks

Neural network based model reference adaptive control structure for a flexible joint with hard nonlinearities

A TSK-type recurrent fuzzy neural network adaptive inverse modeling control for a class of nonlinear discrete-time time-delay systems

Model reference adaptive neural network control for a class of switched nonlinear singular systems

Ship roll stabilization using supervision control based on inverse model wavelet neural network

Adaptive output feedback control of a class of underactuated systems using neural networks

Observer-based adaptive neural network control for a class of uncertain nonlinear systems

A Research on Control Methods of Ball and Beam System Based on Adaptive Neural Network

Free-model based adaptive inverse neurocontroller for dynamic systems

Neural network adaptive control for a class of nonlinear systems based on hyperstability

Similar Documents

Multi-model adaptive control for a class of nonlinear system based on neural networks

Neural network based model reference adaptive control structure for a flexible joint with hard nonlinearities

A TSK-type recurrent fuzzy neural network adaptive inverse modeling control for a class of nonlinear discrete-time time-delay systems

Model reference adaptive neural network control for a class of switched nonlinear singular systems

Ship roll stabilization using supervision control based on inverse model wavelet neural network

Adaptive output feedback control of a class of underactuated systems using neural networks

Observer-based adaptive neural network control for a class of uncertain nonlinear systems

A Research on Control Methods of Ball and Beam System Based on Adaptive Neural Network

Free-model based adaptive inverse neurocontroller for dynamic systems

Neural network adaptive control for a class of nonlinear systems based on hyperstability