DOI QR코드

DOI QR Code

퍼지 리아푸노프 함수를 이용한 어파인 퍼지 시스템의 완화된 안정도 조건

Relaxed Stability Condition for Affine Fuzzy System Using Fuzzy Lyapunov Function

  • 김대영 (연세대 전기전자공학과) ;
  • 박진배 (연세대 전기전자공학과) ;
  • 주영훈 (국립군산대 제어로봇공학과)
  • 투고 : 2012.08.14
  • 심사 : 2012.09.21
  • 발행 : 2012.10.01

초록

This paper presents a relaxed stability condition for continuous-time affine fuzzy system using fuzzy Lyapunov function. In the previous studies, stability conditions for the affine fuzzy system based on quadratic Lyapunov function have a conservativeness. The stability condition is considered by using the fuzzy Lyapunov function, which has membership functions in the traditional Lyapunov function. Based on Lyapunov-stability theory, the stability condition for affine fuzzy system is derived and represented to linear matrix inequalities(LMIs). And slack matrix is added to stability condition for the relaxed stability condition. Finally, simulation example is given to illustrate the merits of the proposed method.

키워드

참고문헌

  1. T. Takagi, and M. Sugeno, "Fuzzy Identification of Systems and Its Applications to Modeling and Control," IEEE Trans. on Syst., Man, and Cybern., vol. 15, pp. 136-156, Jan. 1985. https://doi.org/10.1109/TSMC.1985.6313401
  2. K. Danaka, and M. Sugeno, "Stability Analysis and Design of Fuzzy Control Systems," Fuzzy Sets and Systems, vol. 45, No. 2, pp. 135-156, Jan. 1992. https://doi.org/10.1016/0165-0114(92)90113-I
  3. E. Kim, and S. Kim "Stability Analysis and Synthesis for an Affine Fuzzy System via LMI and ILMI: Discrete Case," IEEE Trans. on Syst., Man, and Cybern., Part B: Cybern., vol. 31, No. 1, pp. 132-140, Feb. 2001. https://doi.org/10.1109/3477.907572
  4. E. Kim, and S. Kim "Stability Analysis and Synthesis for an Affine Fuzzy Control System via LMI and ILMI: Continuous Case," IEEE Trans. on Fuzzy Systems, vol. 10, No. 3, pp. 391-400, June 2002. https://doi.org/10.1109/TFUZZ.2002.1006442
  5. K. Tanaka, T. Hori, and H.O. Wang, "A Fuzzy Lyapunov Approach to Fuzzy Control System Design," American Control Conf, vol. 6, pp. 4790-4795, June 2001.
  6. K. Tanaka, T. Hori, and H.O. Wang, "A Multiple Lyapunov Function Approach to Stabilization of Fuzzy Control Systems," IEEE Trans. on Fuzzy Systems, vol. 11, No. 4, pp. 582-589, Aug. 2003. https://doi.org/10.1109/TFUZZ.2003.814861
  7. L.A. Mozelli, R.M. Palhares, F.O. Souza and E.M.A.M Mendes, "Reducing Conservativeness in Recent Stability Conditions of TS Fuzzy Systems," Autometica. vol. 45, No. 6, pp.1580-1583, June 2009. https://doi.org/10.1016/j.automatica.2009.02.023
  8. L.A. Mozelli, R.M. Palhares, and G.S.C. Avellar, "A Systematic Approach to Improve Multiple Lyapunov Function Stability and Conditions for Fuzzy Systems," Information Sciences. vol. 179, No. 8, pp.1149-1162, March 2009. https://doi.org/10.1016/j.ins.2008.12.002
  9. D.H. Lee, J.B. Park, and Y.H. Joo, "A New Fuzzy Lyapunov Function for Relaxed Stability Condition of Continuous-Time Takagi-Sugeno Fuzzy Systems," IEEE Trans. on Fuzzy Systems, vol. 19, No. 4, pp. 785-791, Aug. 2011. https://doi.org/10.1109/TFUZZ.2011.2142315