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A Type-2 Fuzzy Adaptive Controller of a Class of Nonlinear System
Abstract:In this paper we propose a robust adaptive fuzzy controller for a class of nonlinear system with unknown dynamic. The method is based on type-2 fuzzy logic system to approximate unknown non-linear function. The design of the on-line adaptive scheme of the proposed controller is based on Lyapunov technique. Simulation results are given to illustrate the effectiveness of the proposed approach.
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1079446Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 1732
 J. E. Slotine, W. P. Li, Applied Nonlinear Control. Prentice Hall, 1991.
 T. Takagi, M. Sugeno, "Fuzzy Identification of Systems and its Application to Modelling and Control," IEEE Trans. Systems, Man and Cybernetics, 15 (1), pp. 116-132, 1985.
 G. Feng, "Analysis of a new algorithm for continuous time robust adaptive control," IEEE Trans. Automatic Control, vol. 44, no. 9, pp. 1764-1768, sep 1999.
 R. Babuska, Fuzzy Modelling for Control, Kluwer Academic Publishers, Boston, 1998.
 G. Feng, G. Chen, "Adaptive control of discret-time chaotic systems: a fuzzy control approach," Chaos. Solutions and Fractals 23, pp. 459-467, 2005.
 J. M. Mendel, "Computing Derivatives in Interval Type-2 Fuzzy logic Systems," IEEE Trans. Fuzzy Systems, vol. 12, no.1, pp.84-98, Feb. 2004.
 J. S. Wang, C. S. G. Lee, "Sel-Adaptive Neuro-Fuzzy Inference Systems For Classification Application,", IEEE Trans. Fuzzy Systems, vol. 10, no. 6, pp. 790-802, 2002.
 Z. Kovacic, M. Balenovic, S. Bogdan, "Sensitivity based self learning fuzzy logic control for a servo system," IEEE Control Systems. June 1998.
 N. Golea, A. Golea, K. Benmahammed, "Fuzzy Model Reference Adaptive Control," Fuzzy Sets and Systems, 137 (3), pp. 353-366, 2003.
 M. Hojati, S. Gazor, "Hybrid Adaptive Fuzzy Identification and Control of Nonlinear Systems," IEEE Trans. Fuzzy Systems, vol. 10, no. .2, pp. 198-210, 2002.
 H. Lee, M. Tomizuka, "Robust Adaptive Control using a Universal Approximator for SISO Nonlinear Systems," IEEE Trans. Fuzzy Systems, vol. .8, pp. .95-106, 2001.
 C. H. Wang, C. S. Lee, "Dynamical Optimal Training for Interval Type- 2 Fuzzy Neural Network (T2FNN)," IEEE Trans. Systems, Man and Cybernetics. Part B, vol.. 34, no. .3, pp.1462-1477, 2004.
 J. M. Mendel, Rule-Based Fuzzy Logic Systems: Introduction and New Directions. Prentice Hall, Englewood Cliffs, NJ.