NDLI: Fault estimation in a class of first order nonlinear systems

Content Provider	IEEE Xplore Digital Library
Author	Fónod, R. Gontkovič, D.
Copyright Year	2011
Description	Author affiliation: Technical University of Košice, Faculty of Electrical Engineering and Informatics, Department of Cybernetics and Artificial Intelligence, Košice, Slovakia (Fónod, R.; Gontkovič, D.)
Abstract	Reformulated principle of fault estimation design for one class of first order continuous-time nonlinear system is treated in this paper, where a neural network is regarded as model-free fault approximator. The problem addressed is presented as approach based on sliding mode methodology with combination of radial basis function neural network to design robust nonlinear fault estimation. The method utilizes Lyapunov function and the steepest descent rule to guarantee the convergence of the estimation error asymptotically. Simulation results show the feasibility of the proposed approach.
Starting Page	317
Ending Page	321
File Size	153048
Page Count	5
File Format	PDF
ISBN	9781424474295
e-ISBN	9781424474301
DOI	10.1109/SAMI.2011.5738897
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-01-27
Publisher Place	Slovakia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	radial basis function neural network linear matrix inequalities Sliding mode state estimator Artificial neural networks Switches Observers steepest descent rule Robustness Approximation methods Nonlinear systems Lyapunov function
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

On sensor faults estimation using sliding mode observers

Some properties of sliding mode residual filter design

Actuator faults estimation using sliding mode state estimator

Estimation of Nonlinear System Parameter Faults via Sliding Mode Observer

Observer-based sliding mode control for a class of nonlinear time-delayed systems

Design and implementation sliding mode controller based on radial basis function neural network for synchronous reluctance motor

Fractional-order adaptive fault estimation for a class of nonlinear fractional-order systems

Multiplicative faults detection and reconstruction in linear dynamic systems using robust sliding mode observers

Nonlinear sliding mode observers for fault reconstruction and state estimations

Fault estimation in a class of first order nonlinear systems

Similar Documents

On sensor faults estimation using sliding mode observers

Some properties of sliding mode residual filter design

Actuator faults estimation using sliding mode state estimator

Estimation of Nonlinear System Parameter Faults via Sliding Mode Observer

Observer-based sliding mode control for a class of nonlinear time-delayed systems

Design and implementation sliding mode controller based on radial basis function neural network for synchronous reluctance motor

Fractional-order adaptive fault estimation for a class of nonlinear fractional-order systems

Multiplicative faults detection and reconstruction in linear dynamic systems using robust sliding mode observers

Nonlinear sliding mode observers for fault reconstruction and state estimations

Fault estimation in a class of first order nonlinear systems