Lyapunov stability criterion based neural inverse tracking for unknown dynamic plants

Muhammad Saleheen Aftab; Muhammad Shafiq; Hasan Yousef

doi:10.1109/ICIT.2015.7125118

Lyapunov stability criterion based neural inverse tracking for unknown dynamic plants

Muhammad Saleheen Aftab, Muhammad Shafiq, Hasan Yousef

Electrical and Computer Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

6 Citations (Scopus)

Abstract

This paper presents a Lyapunov function based neural network tracking control strategy for single-input-single-output nonlinear dynamic systems. The proposed architecture is composed of two feed-forward neural networks operating as controller and estimator in a unified framework. The network parameters are tuned online with a Lyapunov function based backpropagation learning algorithm. The closed-loop error convergence and stability are analyzed with Lyapunov stability theory. Two simulation case studies are included that successfully validate the proposed controller performance.

Original language	English
Title of host publication	2015 IEEE International Conference on Industrial Technology, ICIT 2015
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	321-325
Number of pages	5
Edition	June
ISBN (Electronic)	9781479978007
DOIs	https://doi.org/10.1109/ICIT.2015.7125118
Publication status	Published - Jun 16 2015
Event	2015 IEEE International Conference on Industrial Technology, ICIT 2015 - Seville, Spain Duration: Mar 17 2015 → Mar 19 2015

Publication series

Name	Proceedings of the IEEE International Conference on Industrial Technology
Number	June
Volume	2015-June

Other

Other	2015 IEEE International Conference on Industrial Technology, ICIT 2015
Country/Territory	Spain
City	Seville
Period	3/17/15 → 3/19/15

Keywords

Lyapunov function
direct adaptive inverse control
indirect adaptive inverse control
neural inverse tracking
stable adaptive tracking

ASJC Scopus subject areas

Computer Science Applications
Electrical and Electronic Engineering

Access to Document

10.1109/ICIT.2015.7125118

Cite this

Aftab, M. S., Shafiq, M., & Yousef, H. (2015). Lyapunov stability criterion based neural inverse tracking for unknown dynamic plants. In 2015 IEEE International Conference on Industrial Technology, ICIT 2015 (June ed., pp. 321-325). [7125118] (Proceedings of the IEEE International Conference on Industrial Technology; Vol. 2015-June, No. June). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICIT.2015.7125118

Lyapunov stability criterion based neural inverse tracking for unknown dynamic plants. / Aftab, Muhammad Saleheen; Shafiq, Muhammad ; Yousef, Hasan.
2015 IEEE International Conference on Industrial Technology, ICIT 2015. June. ed. Institute of Electrical and Electronics Engineers Inc., 2015. p. 321-325 7125118 (Proceedings of the IEEE International Conference on Industrial Technology; Vol. 2015-June, No. June).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Aftab, MS, Shafiq, M & Yousef, H 2015, Lyapunov stability criterion based neural inverse tracking for unknown dynamic plants. in 2015 IEEE International Conference on Industrial Technology, ICIT 2015. June edn, 7125118, Proceedings of the IEEE International Conference on Industrial Technology, no. June, vol. 2015-June, Institute of Electrical and Electronics Engineers Inc., pp. 321-325, 2015 IEEE International Conference on Industrial Technology, ICIT 2015, Seville, Spain, 3/17/15. https://doi.org/10.1109/ICIT.2015.7125118

Aftab MS, Shafiq M , Yousef H. Lyapunov stability criterion based neural inverse tracking for unknown dynamic plants. In 2015 IEEE International Conference on Industrial Technology, ICIT 2015. June ed. Institute of Electrical and Electronics Engineers Inc. 2015. p. 321-325. 7125118. (Proceedings of the IEEE International Conference on Industrial Technology; June). doi: 10.1109/ICIT.2015.7125118

Aftab, Muhammad Saleheen ; Shafiq, Muhammad ; Yousef, Hasan. / Lyapunov stability criterion based neural inverse tracking for unknown dynamic plants. 2015 IEEE International Conference on Industrial Technology, ICIT 2015. June. ed. Institute of Electrical and Electronics Engineers Inc., 2015. pp. 321-325 (Proceedings of the IEEE International Conference on Industrial Technology; June).

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Lyapunov stability criterion based neural inverse tracking for unknown dynamic plants

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