[1] P. Albertos, R. Strietzel and N. Mort, Control engineering solution , a practical approach, IEE Press,
(1997).
[2] C. T. Chen, Introduction to linear system theory, Prentice Hall, Englewood Cliffs (1970) 83.
[3] Y. Ding, H. Ying and S. Shao, Theoretical analysis of a takagi-sugeno fuzzy PI controller with
application to tisssue hyperthermia therapy, Proc. of IEEE on Computational Intelligence, Vol. 1
(1998) 252-257.
[4] S. S. Farinwata, A robust stablizing controller for a class of fuzzy systems, Proc. of IEEE Conf. of
Decision and Control, Vol. 5 (1999) 4355-4360.
[5] T. Furuhashi, H. Kakami, J. Peter and W. Pedrycz, A stability analysis of fuzzy control system using a
generalized fuzzy petri net model, Porc. of IEEE International Conference on Computational
Intelligence, Vol. 1 (1998) 95-100.
[6] S. M. Guu and C. T. Pang, On asymptotic stability of free fuzzy systems, IEEE Trans. On Fuzzy
Systems., Vol. 7 (1999) 467-468.
[7] T. Hasegawa and T. Furuhashi, Stability analysis of fuzzy control systems simplified as a discrete
system, Control and Cybernetics, Vol. 27, (1998), No. 1 (1998) 565-577.
[8] T. Hasegawa, T. Furuhashi and Y. Uchikawa, Stability analysis of fuzzy control systems using petri
nets, Proc. of 5-th IEEE Int. Conf. On Fuzzy Systems, (1996).
[9] X. He, H. Zhang and Z. Bien, Analysis on D stability of fuzzy system, Porc. of IEEE World Congress
on Computational Intelligence , (1998).
[10] G. Kang, W. Lee and M. Sugeno, Stability analysis of TSK fuzzy systems, Proc. of IEEE International
Conference on Computational Intelligence, Vol. 1 (1998) 555-560.
[11] S. Kawamoto, K. Tada, A. Ishigame and T. Taniguchi, An approach to stability analysis of second
order fuzzy systems, Proc. First IEEE Int. Conf. On Fuzzy Systems,(1992).
[12] E. Kim, A new approach to numerical stability analysis of fuzzy control systems, IEEE Trans. On
Syst. Man and Cyber. , Part C , Vol. 31 (2001) 107-113.
[13] H. K. Lam, F. H. F. Leung and P. K. S. Tam, Stability and robustness analysis and gain design for
fuzzy control systems subject to parameter uncertainties, Proc. of 9-th International Conf. On Fuzzy
Systems., Vol. 2 (2000) 682-687.
[14] P. Linder and B. Shafai, Qualitative robust fuzzy control with application to 1992 ACC Benchmark,
IEEE Trans. On Fuzzy Systems, Vol. 7 (1999) 409-421.
[15] M. Margaliot and G. Langholz, New approaches to fuzzy modelling and control design, World
Scientific Press, (2000).
[16] M. Margaliot and G. Langholz, Adaptive fuzzy controller design via fuzzy Lyapunov synthesis, IEEE
Conf. (1998).
[17] M. Margaliot and G. Langholz, Fuzzy control of a benchmark problem: a computing with words
approach, IEEE Conf. (2001).
[18] W. Pedrycz and F. Gomide, A new generalized fuzzy petri net model, IEEE Trans. On Fuzzy Systems,
Vol. 2 (1994) 295-301.
[19] R. E. Precup, S. Preitl and S. Solyom, Center manifold theory approach to the stability analysis of
fuzzy control systems, EUFIT, (1999), Dortmund.
[20] J. J. E. Slotine and W. Li, Applied nonlinear control, Prentice Hall
[21] M. Sugeno, On stability fuzzy systems expressed by fuzzy rules with singleton consequents, IEEE
Trans. On Fuzzy Systems. , Vol. 7 (1999) 201-224.
[22] A. A. Suratgar and S. K. Nikravesh, A new sufficient condition for stability of fuzzy systems, ICEE
2002, Tabriz, Iran, (2002).
[23] A. A. Suratgar and S. K. Nikravesh, Comment on: stability analysis of fuzzy control systems simplified
as a discrete system, Control and Cybernetics Journal, Submitted.
[24] A. A. Suratgar and S. K. Nikravesh, Necessary and sufficient conditions for asymptotic stability of a
class of applied nonlinear dynamical systems, IEEE Circuit and System Conf., Sharjah, (2003), (to
appear).
[25] A. A. Suratgar and S. K. Nikravesh, Two new approaches for linguistic fuzzy modeling and
introduction to their stability analysis, IEEE World Congress Computational Intelligence, USA,
(2002).
[26] A. A. Suratgar and S. K. Nikravesh, Two new approaches for linguistic fuzzy modeling and its
stability, IEEE Fuzzy System and Knowledge Discovery FSKD’02, Singapour, (2002).
[27] A. A. Suratgar and S. K. Nikravesh, Two approaches for linguistic fuzzy modeling and its stability,
Daneshvar Journal (to be appeared), (2002) (in persian).
[28] A. A. Suratgar and S. K. Nikravesh, Variation model: the concept and stability analysis, IEEE World
Congress Computational intelligence, USA, (2003).
[29] Kazuo Tanaka, Stability and stabilizability of fuzzy-neural-linear control systems, IEEE Trans. On
Fuzzy Systems., Vol. 3 (1995) 438-447.
[30] K. Tanaka, T. Ikeda and H. O. Wang, A LMI approach to fuzzy controller designs based on relaxed
stability condition, Proc. of the Sixth IEEE International Conf. on Fuzzy Systems., Vol. 1 (1997) 171-
176.
[31] K. Tanaka and M. Sugeno, Stability analysis and design of fuzzy control systems, Fuzzy Sets Systems,
Vol. 45 (1992) 136-156.
[32] M. A. L.Thathachar and P. Viswanath, On stabilityof fuzzy systems, IEEE Trans. On Fuzzy Systems.,
Vol. 5 (1997) 145-151.
[33] L. X. Wang, Fuzzy systems as nonlinear dynamic systems identifiers, part II: stability analysis and
simulation, Proc. of 31-th Conf. of Decision and Control, (1992 ).
[34] H. Yamamoto and T. Furuhashi, A new sufficient condition for stable fuzzy control system and its
design method, IEEE Trans. On Fuzzy Systems, Vol. 9 (2001) 554-569.
[35] L. A. Zadeh, Outline of a new approach to the analysis of complex systems and decision processes,
IEEE Transaction on Systems Man and Cybernetics, Vol. SMC-3, No. 1 (1973) 28-44.