Wavelet based Adaptive Sliding Mode Control for Discrete Time Uncertain Nonlinear Systems
Nøgleord:
Adaptive sliding mode control, wavelet networks, discrete time nonlinearResumé
This paper focuses on the development of a wavelet based adaptive sliding mode control strategy for a class of discrete time uncertain nonlinear systems. An adaptive sliding mode control is utilized to assure the stable tracking of uncertain nonlinear system under consideration. Wavelet neural network (WNN) is used to mimic the uncertainties present in the system. Proposed scheme is derived to guaranty the necessary and sufficient reaching condition for sliding mode control in presence of modeling uncertainties and mathematical inaccuracies. A numerical example is provided to verify the effectiveness of theoretical development. Keywords: Adaptive sliding mode control; wavelet networks; discrete time nonlinearDownloads
Publiceret
Nummer
Sektion
Licens
Declaration and Copyright Transfer Form
(to be completed by authors)
I/ We, the undersigned author(s) of the submitted manuscript, hereby declare, that the above manuscript which is submitted for publication in the STM Journals(s), is not published already in part or whole (except in the form of abstract) in any journal or magazine for private or public circulation, and, is not under consideration of publication elsewhere.
· I/We will not withdraw the manuscript after 1 week of submission as I have read the Author Guidelines and will adhere to the guidelines.
· I/We Author(s ) have niether given nor will give this manuscript elsewhere for publishing after submitting in STM Journal(s).
· I/ We have read the original version of the manuscript and am/ are responsible for the thought contents embodied in it. The work dealt in the manuscript is my/ our own, and my/ our individual contribution to this work is significant enough to qualify for authorship.
· I/We also agree to the authorship of the article in the following order:
Author’s name
1. ________________
2. ________________
3. ________________
_______________
We Author(s) tick this box and would request you to consider it as our signature as we agree to the terms of this Copyright Notice, which will apply to this submission if and when it is published by this journal. |