Neural Network Inverse Model Control Strategy: Discrete-Time Stability Analysis for Relative Order Two Systems

This paper discusses the discrete-time stability analysis of a neural network inverse model control strategy for a relative order two nonlinear system. The analysis is done by representing the closed loop system in state space format and then analyzing the time derivative of the state trajectory usi...

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Main Authors: M. A. Hussain, Jarinah Mohd Ali, M. J. H. Khan
Format: Article
Language:English
Published: Wiley 2014-01-01
Series:Abstract and Applied Analysis
Online Access:http://dx.doi.org/10.1155/2014/645982
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author M. A. Hussain
Jarinah Mohd Ali
M. J. H. Khan
author_facet M. A. Hussain
Jarinah Mohd Ali
M. J. H. Khan
author_sort M. A. Hussain
collection DOAJ
description This paper discusses the discrete-time stability analysis of a neural network inverse model control strategy for a relative order two nonlinear system. The analysis is done by representing the closed loop system in state space format and then analyzing the time derivative of the state trajectory using Lyapunov’s direct method. The analysis shows that the tracking output error of the states is confined to a ball in the neighborhood of the equilibrium point where the size of the ball is partly dependent on the accuracy of the neural network model acting as the controller. Simulation studies on the two-tank-in-series system were done to complement the stability analysis and to demonstrate some salient results of the study.
format Article
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institution Kabale University
issn 1085-3375
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language English
publishDate 2014-01-01
publisher Wiley
record_format Article
series Abstract and Applied Analysis
spelling doaj-art-35c867500bec477ca14dcc79305291572025-02-03T01:07:48ZengWileyAbstract and Applied Analysis1085-33751687-04092014-01-01201410.1155/2014/645982645982Neural Network Inverse Model Control Strategy: Discrete-Time Stability Analysis for Relative Order Two SystemsM. A. Hussain0Jarinah Mohd Ali1M. J. H. Khan2Department of Chemical Engineering, Faculty of Engineering, University of Malaya, 50603 Kuala Lumpur, MalaysiaDepartment of Chemical Engineering, Faculty of Engineering, University of Malaya, 50603 Kuala Lumpur, MalaysiaDepartment of Chemical Engineering, Faculty of Engineering, University of Malaya, 50603 Kuala Lumpur, MalaysiaThis paper discusses the discrete-time stability analysis of a neural network inverse model control strategy for a relative order two nonlinear system. The analysis is done by representing the closed loop system in state space format and then analyzing the time derivative of the state trajectory using Lyapunov’s direct method. The analysis shows that the tracking output error of the states is confined to a ball in the neighborhood of the equilibrium point where the size of the ball is partly dependent on the accuracy of the neural network model acting as the controller. Simulation studies on the two-tank-in-series system were done to complement the stability analysis and to demonstrate some salient results of the study.http://dx.doi.org/10.1155/2014/645982
spellingShingle M. A. Hussain
Jarinah Mohd Ali
M. J. H. Khan
Neural Network Inverse Model Control Strategy: Discrete-Time Stability Analysis for Relative Order Two Systems
Abstract and Applied Analysis
title Neural Network Inverse Model Control Strategy: Discrete-Time Stability Analysis for Relative Order Two Systems
title_full Neural Network Inverse Model Control Strategy: Discrete-Time Stability Analysis for Relative Order Two Systems
title_fullStr Neural Network Inverse Model Control Strategy: Discrete-Time Stability Analysis for Relative Order Two Systems
title_full_unstemmed Neural Network Inverse Model Control Strategy: Discrete-Time Stability Analysis for Relative Order Two Systems
title_short Neural Network Inverse Model Control Strategy: Discrete-Time Stability Analysis for Relative Order Two Systems
title_sort neural network inverse model control strategy discrete time stability analysis for relative order two systems
url http://dx.doi.org/10.1155/2014/645982
work_keys_str_mv AT mahussain neuralnetworkinversemodelcontrolstrategydiscretetimestabilityanalysisforrelativeordertwosystems
AT jarinahmohdali neuralnetworkinversemodelcontrolstrategydiscretetimestabilityanalysisforrelativeordertwosystems
AT mjhkhan neuralnetworkinversemodelcontrolstrategydiscretetimestabilityanalysisforrelativeordertwosystems