Indirect Adaptive Fuzzy H∞ Tracking Control with Self-Structuring Algorithm for a Class of Uncertain Nonlinear SISO Systems

Sen Xu; Zhang Quan Wang; You Rong  Chen; Ban Teng Liu; Lu Yao  Xu

doi:10.4028/www.scientific.net/AMR.756-759.622

Paper Titles

Design of Mine Gas Monitoring System Based on Wireless Sensor Network
p.603

Research and Design of Centralized Micro Soccer Robot's Decision-Making System
p.607

Control of Circulating Current for Direct-Parallel Connected PWM Inverters
p.612

A Novel Frame Layer Rate Control Algorithm for H.264
p.618

Indirect Adaptive Fuzzy H^∞Tracking Control with Self-Structuring Algorithm for a Class of Uncertain Nonlinear SISO Systems
p.622

Direct Torque Control of Interior Permanent Magnet Synchronous Motors Based on Position Sensorless Control
p.627

The Traffic Prediction and Control Based on Rough Set Theory
p.632

Signal Processing and Design of Nodes in WSN Agricultural Monitoring System
p.636

The Research on Substation Monitoring System Based on Multi-Sensor Network
p.641

HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 756-759Indirect Adaptive Fuzzy H∞ Tracking Control with...

Indirect Adaptive Fuzzy H^∞Tracking Control with Self-Structuring Algorithm for a Class of Uncertain Nonlinear SISO Systems

Abstract:

Indirect adaptive fuzzy controller with a self-structuring algorithm is proposed in this paper to achieve tracking performance for a class of uncertain nonlinear single-input single-output (SISO) systems with external disturbances. Selecting membership functions and the fuzzy rules are difficult in fuzzy controller design. As a result, self-structuring algorithm is used in this paper, which simplifies the design of fuzzy controller. Lyapunov analysis is used to prove asymptotic stability of the proposed approach. Application of the proposed control scheme to a second-order inverted pendulum system demonstrates the effectiveness of the proposed approach.

You might also be interested in these eBooks

View Preview

Info:

Periodical:

Advanced Materials Research (Volumes 756-759)

Pages:

622-626

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.756-759.622

Citation:

Cite this paper

Online since:

September 2013

Authors:

Sen Xu, Zhang Quan Wang, You Rong Chen, Ban Teng Liu, Lu Yao Xu

Keywords:

Daptive Fuzzy Control, Self-Structuring Fuzzy System, Tracking Control, Uncertain Nonlinear System

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] H. Lee, Robust Adaptive Fuzzy Control by Backstepping for a Class of MIMO Nonlinear Systems, IEEE Trans. on Fuzzy Systems, vol. 19, no. 2, April, 2011, pp.265-275.

DOI: 10.1109/tfuzz.2010.2095859

Google Scholar

[2] G. Feng, A Survey on Analysis and Design of Model-Based Fuzzy Control Systems, IEEE Trans. on Fuzzy Systems, vol. 14, no. 5, October, 2006, pp.676-697.

DOI: 10.1109/tfuzz.2006.883415

Google Scholar

[3] L. X. Wang, Adaptive Fuzzy Systems and Control: Design and Stability Analysis, Prentice-Hall, Englewood Cliffs, New Jersey, (1994).

Google Scholar

[4] B. S. Chen, C. H. Lee, and Y. C. Chang, Tracking Design of Uncertain Nonlinear SISO Systems: Adaptive Fuzzy Approach, IEEE Trans. on Fuzzy Systems, vol. 4, no. 1, February, 1996, pp.32-43.

DOI: 10.1109/91.481843

Google Scholar

[5] G. Feng, H-infinity controller design of fuzzy dynamic systems based on piecewise Lyapunov functions, IEEE Trans. on Syst., Man, Cybern., B., Cybern., vol. 34, no. 1, February, 2004, p.283–292.

DOI: 10.1109/tsmcb.2003.811500

Google Scholar

[6] J. H. Park, G. T. Park, S. H. Kim, C. J. Moon, Direct Adaptive Self-structuring Fuzzy Controller for Non-affine Nonlinear System, Fuzzy Sets and Systems 153, 2005, pp.429-455.

DOI: 10.1016/j.fss.2005.01.003

Google Scholar

[7] P. A. Phan, T. J . Gale, Direct adaptive fuzzy control with a self-structuring algorithm, Fuzzy Sets and Systems 159, 2008, pp.871-899.

DOI: 10.1016/j.fss.2007.09.012

Google Scholar