| 參考文獻 |
[1] T. Takagi and M. Sugeno, “Fuzzy identification of systems and its applications to modelling
and control,” IEEE Trans. Syst., Man, Cybern., vol. 15, no. 1, pp. 116–132, Jan. 1985.
[2] M. Sugeno and G. Kang, “Structure identification of fuzzy model,” Fuzzy Set and Systems,
vol. 28, pp. 15–33, 1988.
[3] K. Tanaka and M. Sugeno, “Stability analysis and design of fuzzy control systems,” Fuzzy
Set and Systems, vol. 45, pp. 135–156, 1992.
[4] W. Haddad and D. Bernstein, “Explicit construction of quadratic Lyapunov functions
for the small gain, positive, circle and Popov theorems and their application to robust
stability. Part II: discrete-time theory,” Int’l J. of Robust and Nonlinear Control, vol. 4,
pp. 249–265, 1994.
[5] T. Taniguchi, K. Tanaka, H. Ohatake, and H. Wang, “Model construction, rule reduction
and robust compensation for generalized form of Takagi-Sugeno fuzzy systems,” IEEE
Trans. Fuzzy Systems, vol. 9, no. 4, pp. 525–538, Aug. 2001.
[6] H. Wang, J. Li, D. Niemann, and K. Tanaka, “T-S fuzzy model with linear rule consequence
and PDC controller: a universal framework for nonlinear control systems,” in Proc. of 18th
Int’l Conf. of the North American Fuzzy Information Processing Society, 2000.
[7] K. Tanaka, T. Taniguchi, and H. Wang, “Generalized Takagi-Sugeno fuzzy systems: rule
reduction and robust control,” in Proc. of 7th IEEE Conf. on Fuzzy Systems, 2000.
[8] H. Wang, K. Tanaka, and M. Griffin, “An approach to fuzzy control of nonlinear systems:
stability and design issues,” IEEE Trans. Fuzzy Systems, vol. 4, no. 1, pp. 14–23, Feb.
1996.
[9] K. Tanaka and H. Wang, Fuzzy Control Systems Design: A Linear Matrix Inequality
Approach. New York, NY: John Wiley & Sons, Inc., 2001.
[10] K. Tanaka, T. Ikeda, and H. Wang, “Fuzzy regulators and fuzzy observers: relaxed stability
conditions and LMI-based designs,” IEEE Trans. Fuzzy Systems, vol. 6, no. 2, pp. 250–265,
May 1998.
[11] J. Lo and M. Lin, “Observer-based robust H∞ control for fuzzy systems using two-step
procedure,” IEEE Trans. Fuzzy Systems, vol. 12, no. 3, pp. 350–359, Jun. 2004.
[12] ——, “Robust H∞ nonlinear control via fuzzy static output feedback,” IEEE Trans. Cir-
cuits and Syst. I: Fundamental Theory and Applications, vol. 50, no. 11, pp. 1494–1502,
Nov. 2003.
[13] E. Kim and H. Lee, “New approaches to relaxed quadratic stability condition of fuzzy
control systems,” IEEE Trans. Fuzzy Systems, vol. 8, no. 5, pp. 523–534, Oct. 2000.
[14] X. Liu and Q. Zhang, “New approaches to H∞ controller designs based on fuzzy observers
for T-S fuzzy systems via LMI,” Automatica, vol. 39, pp. 1571–1582, 2003.
[15] C. Fang, Y. Liu, S. Kau, L. Hong, and C. Lee, “A new LMI-based approach to relaxed
quadratic stabilization of T-S fuzzy control systems,” IEEE Trans. Fuzzy Systems, vol. 14,
no. 3, pp. 386–397, Jun. 2006.
[16] M. Teixeira, E. Assuncao, and R. Avellar, “On relaxed LMI-based design for fuzzy reg-
ulators and fuzzy observers,” IEEE Trans. Fuzzy Systems, vol. 11, no. 5, pp. 613–623,
2003.
[17] R. Oliveira and P. Peres, “LMI conditions for robust stability analysis based on polynomi-
ally parameter-dependent Lyapunov functions,” Syst. & Contr. Lett., vol. 55, pp. 52–61,
2006.
[18] ——, “Parameter-dependent LMIs in robust analysis: characterization of homogeneous
polynomially parameter-dependent solutions via LMI relaxations,” IEEE Trans. Automatic
Control, vol. 52, no. 7, pp. 1334–1340, Jul. 2007.
[19] ——, “LMI conditions for the existence of polynomially parameter-dependent Lyapunov
functions assuring robust stability,” in Proc. of 44th IEEE Conf. on Deci and Contr,
Seville, Spain, Dec. 2005, pp. 1660–1665.
[20] G. Hardy, J. Littlewood, and G. P´lya, Inequalities, second edition.o
Cambridge University Press, 1952.
Cambridge, UK.:
[21] R. Oliveira and P. Peres, “Stability of polytopes of matrices via affine parameter-dependent
Lyapunov functions: Asymptotically exact LMI conditions,” Linear Algebra and its Ap-
plications, vol. 405, pp. 209–228, 2005.
[22] V. Montagner, R. Oliveira, P. Peres, and P.-A. Bliman, “Linear matrix inequality charac-
terization for H∞ and H2 guaranteed cost gain-scheduling quadratic stabilization of linear
time-varying polytopic systems,” IET Control Theory & Appl., vol. 1, no. 6, pp. 1726–1735,
2007.
[23] V. Montagner, R. Oliveira, and P. Peres, “Necessary and sufficient LMI conditions to
compute quadratically stabilizing state feedback controller for Takagi-sugeno systems,” in
Proc. of the 2007 American Control Conference, Jul. 2007, pp. 4059–4064.
[24] J. Lo and J. Wan, “Dissipative control to fuzzy systems with nonlinearity at the input,”
in The 2007 CACS International Automatic Control Conference, Taichung,Tw, Nov. 2007,
pp. 329–334.
[25] ——, “Studies on LMI relaxations for fuzzy control systems via homogeneous polynomials,”
IET Control Theory & Appl., vol. 4, no. 11, pp. 2293–2302, Nov. 2010.
[26] J. Wan and J. Lo, “LMI relaxations for nonlinear fuzzy control systems via homoge-
neous polynomials,” in The 2008 IEEE World Congress on Computational Intelligence,
FUZZ2008, Hong Kong, CN, Jun. 2008, pp. 134–140.
[27] K. Tanaka, T. Ikeda, and H. Wang, “Robust stabilization of a class of uncertain nonlinear
systems via fuzzy control: quadratic stabilizability, H ∞ control theory, and linear matrix
inequalities,” IEEE Trans. Fuzzy Systems, vol. 4, no. 1, pp. 1–13, Feb. 1996.
[28] X.-J. Ma, Z.-Q. Sun, and Y.-Y. He, “Analysis and design of fuzzy controller and fuzzy
observer,” IEEE Trans. Fuzzy Systems, vol. 6, no. 1, pp. 41–51, Feb. 1998.
[29] J. Lo and M. Lin, “Observer-Based Robust H∞ Control for Fuzzy Systems Using Two-Step
Procedure ,” IEEE Trans. Fuzzy Systems, vol. 15, no. 5, pp. 840–851, Oct. 2007.
[30] J. Yoneyama, M. Nishikawa, H. Katayama, and A. Ichikawa, “Output stabilization of
Takagi-Sugeno fuzzy systems,” Fuzzy Set and Systems, vol. 111, pp. 253–266, 2000.
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