Wavelet Reduced-Order Observer-based Adaptive Tracking Control for a Class of Uncertain Nonlinear Systems

Autori

  • Manish Sharma Medicaps Institute of Technology and Management, Indore
  • A. Verma

Parole chiave:

Wavelet neural networks, reduced order observer, adaptive control, Lyapunov functional

Abstract

This Paper investigates the mean to design the reduced-order observer and observer-based controllers for a class of uncertain nonlinear systems. A new design approach of wavelet-based adaptive reduced-order observer is proposed. The proposed wavelet adaptive reduced-order observer performs the task of identification of unknown system dynamics in addition to the reconstruction of states of the system. Owing to their superior learning capabilities, wavelet networks are employed in this work for the purpose of identification of unknown system dynamics. Using the feedback control, based on reconstructed states, the behavior of closed-loop system is investigated. A numerical example is provided to verify the effectiveness of theoretical development . Keywords: Wavelet neural networks, reduced order observer, adaptive control, Lyapunov functional

Biografia autore

  • Manish Sharma, Medicaps Institute of Technology and Management, Indore
    Assistant Professor, Electronics and Instrumentation department

Dowloads

Pubblicato

2012-02-14

Fascicolo

V. 1 N. 2 -3 (2011)

Sezione

Review Articles

Licenza

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. ________________

4. _______________

 

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.