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Direct stable fuzzy adaptive control of a class of SISO nonlinear systems

Wybrane pełne teksty z tego czasopisma
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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
For class of unknown nonlinear single-output (SISO) systems a stable direct adaptive controller witch uses standard fuzzy systems is presented. The proposed scheme includes a proportional-integral-type adaptation law. global boundedness of the overall adaptive system and tracking within a desired precision are established with the new adaptive scheme. This adaptive scheme allows for the incorporation of linquistic information from human experts directly into the controller. Simulations performed on two examples illustrate the approach and exhibit its performance.
Rocznik
Strony
95--110
Opis fizyczny
Bibliogr. 14 poz., rys.
Twórcy
autor
  • Process Control Laboratory, Department of Electrical Engineering Ecole Nationale Polytechnique 10, Ave Hassen Badi, BP. 182, El Harrach, Alger, Algeria, labiod_salim@yahoo.fr
  • Process Control Laboratory, Department of Electrical Engineering Ecole Nationale Polytechnique 10, Ave Hassen Badi, BP. 182, El Harrach, Alger, Algeria
Bibliografia
  • [1] S. Commuri and F. L. Lewis: Design and stability analysis of adaptive-fuzzy controller for a class of nonlinear systems. Proc. 35th Conf. Dec. Contr., (1996), 2729-2730.
  • [2] A. Isidori: Nonlinear Control Systems. Springer-Verlag. 1989.
  • [3] J. S. R. Jang and C. T. Sun: Neuro-fuzzy modeling and control. Proc. IEEE. 83(3), (1995), 378-405.
  • [4] R Kokotovic and M. Arkac: Constructive nonlinear control: a historical perspective. Automatica, 37 (2001), 637-662.
  • [5] M. Kristic, I. Kanhllakopoulos and P. Kokotovic: Nonlinear and Adaptive Control Design. Weley Interscience, 1995.
  • [6] K. M. Passino and S. Yurkovich: Fuzzy Control Addison-Wesley Longman Inc., 1998.
  • [7] J. E. Slotine and W. Li: Applied Nonlinear Control. Prentice Hall. Englewood Cliffs, 1991.
  • [8] J. T. Spooner and K. M. Passing: Stable adaptive control using fuzzy systems and neural networks. IEEE Trans. Fuzzy Syst., 4 (1996), 339-359.
  • [9] C. Y. Su and Y. Stepanenko: Adaptive control of a class of nonlinear systems with fuzzy logic. IEEE Trans. Fuzzy Systems. 2(4), (1994), 285-294.
  • [10] Y. Tang. N. Zhang and Y. Li: Stable fuzzy adaptive control for a class of nonlinear systems. Fuzzy sets and Systems. 104(1999), 279-288.
  • [11] S. II. Tong. Q. Li and T. Chai: Fuzzy adaptive control of a class of nonlinear systems. Fuzzy sets and Systems, 101 (1999), 31-39.
  • [12] L. X. Wang : Stable adaptive fuzzy control of nonlinear systems. Proc. 31st Conf. Dec. Contr., (1992), 2511-2516.
  • [13] L. X. Wang: Fuzzy Systems and Control: Design and Stability Analysis. Prentice-Hall Inc.. Englewood Cliffs, 1994.
  • [14] L. X. Wang and J. M. Mendel: Generating fuzzy rules by learning from examples. Proc. IEEE Int. Symp. Intelligent Contr., (1991), 263-268.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BSW3-0007-0007
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