Neural Network Inverse Model Control Strategy: Discrete-Time Stability Analysis for Relative Order Two Systems
Joint Authors
Hussain, M. A.
Mohd Ali, Jarinah
Khan, M. J. H.
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-05-12
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Hussain, M. A.& Mohd Ali, Jarinah& Khan, M. J. H.. 2014. Neural Network Inverse Model Control Strategy: Discrete-Time Stability Analysis for Relative Order Two Systems. Abstract and Applied Analysis،Vol. 2014, no. 2014, pp.1-11.
https://search.emarefa.net/detail/BIM-1014433
Modern Language Association (MLA)
Hussain, M. A.…[et al.]. Neural Network Inverse Model Control Strategy: Discrete-Time Stability Analysis for Relative Order Two Systems. Abstract and Applied Analysis No. 2014 (2014), pp.1-11.
https://search.emarefa.net/detail/BIM-1014433
American Medical Association (AMA)
Hussain, M. A.& Mohd Ali, Jarinah& Khan, M. J. H.. Neural Network Inverse Model Control Strategy: Discrete-Time Stability Analysis for Relative Order Two Systems. Abstract and Applied Analysis. 2014. Vol. 2014, no. 2014, pp.1-11.
https://search.emarefa.net/detail/BIM-1014433
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1014433