Adaptive backstepping fuzzy control for a class of nonlinear systems

Yih Guang Leu; Jian You Lin

doi:10.1007/978-3-642-01510-6_127

Adaptive backstepping fuzzy control for a class of nonlinear systems

Yih Guang Leu^*
, Jian You Lin

^*Corresponding author for this work

Department of Electrical Engineering

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

1 Citation (Scopus)

Abstract

By using a nonlinear parametric fuzzy identifier, an adaptive backstepping controller is proposed for a class of nonlinear systems. The nonlinear parametric fuzzy identifier is capable of automatically learning its membership functions. Since the fuzzy identifier is highly nonlinear, the derivative computation burden is enormous. Thus, this paper uses an estimation technique to effectively alleviate the derivative computation burden, and demonstrates the applicability of the proposed scheme by using computer simulation.

Original language	English
Title of host publication	Advances in Neural Networks - ISNN 2009 - 6th International Symposium on Neural Networks, ISNN 2009, Proceedings
Pages	1123-1129
Number of pages	7
Edition	PART 2
DOIs	https://doi.org/10.1007/978-3-642-01510-6_127
Publication status	Published - 2009
Event	6th International Symposium on Neural Networks, ISNN 2009 - Wuhan, China Duration: 2009 May 26 → 2009 May 29

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Number	PART 2
Volume	5552 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Other

Other	6th International Symposium on Neural Networks, ISNN 2009
Country/Territory	China
City	Wuhan
Period	2009/05/26 → 2009/05/29

Keywords

Backstepping design
Fuzzy control
Nonlinear control

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

Access to Document

10.1007/978-3-642-01510-6_127

Cite this

Leu, Y. G., & Lin, J. Y. (2009). Adaptive backstepping fuzzy control for a class of nonlinear systems. In Advances in Neural Networks - ISNN 2009 - 6th International Symposium on Neural Networks, ISNN 2009, Proceedings (PART 2 ed., pp. 1123-1129). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5552 LNCS, No. PART 2). https://doi.org/10.1007/978-3-642-01510-6_127

Adaptive backstepping fuzzy control for a class of nonlinear systems. / Leu, Yih Guang; Lin, Jian You.
Advances in Neural Networks - ISNN 2009 - 6th International Symposium on Neural Networks, ISNN 2009, Proceedings. PART 2. ed. 2009. p. 1123-1129 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5552 LNCS, No. PART 2).

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

Leu, YG & Lin, JY 2009, Adaptive backstepping fuzzy control for a class of nonlinear systems. in Advances in Neural Networks - ISNN 2009 - 6th International Symposium on Neural Networks, ISNN 2009, Proceedings. PART 2 edn, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 2, vol. 5552 LNCS, pp. 1123-1129, 6th International Symposium on Neural Networks, ISNN 2009, Wuhan, China, 2009/05/26. https://doi.org/10.1007/978-3-642-01510-6_127

Leu YG, Lin JY. Adaptive backstepping fuzzy control for a class of nonlinear systems. In Advances in Neural Networks - ISNN 2009 - 6th International Symposium on Neural Networks, ISNN 2009, Proceedings. PART 2 ed. 2009. p. 1123-1129. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 2). doi: 10.1007/978-3-642-01510-6_127

Leu, Yih Guang ; Lin, Jian You. / Adaptive backstepping fuzzy control for a class of nonlinear systems. Advances in Neural Networks - ISNN 2009 - 6th International Symposium on Neural Networks, ISNN 2009, Proceedings. PART 2. ed. 2009. pp. 1123-1129 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 2).

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Adaptive backstepping fuzzy control for a class of nonlinear systems

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