1 |
T. Takagi and M. Sugeno, "Fuzzy identification of systems and its applications to modeling and control," IEEE Trans. Syst., Man, Cybern., vol. SMC-15, no. 1, pp. 116-132, 1985.
DOI
|
2 |
J. Yoneyama, " filtering for fuzzy systems with immeasurable premise variables: an uncertain system approach," Fuzzy Sets Syst., vol. 160, pp. 1738-1748, 2009.
DOI
|
3 |
H. J. Kim, J. B. Park, and Y. H. Joo, "Decentralized H_ fuzzy filter for non-linear large-scale systems under imperfect premise matching," IET Cont. Theo. Appl., vol. 18, no. 9, pp. 2704-2714, 2015.
|
4 |
J. Zhang, P. Shi, J. Qiu, and S. K. Nguang, "A novel observer-based output feedback controller design for discrete-time fuzzy systems," IEEE Trans. Fuzzy Syst., vol. 23, no. 1, pp. 223-229, 2015.
DOI
|
5 |
X. Xie, D. Yang, and H. Ma, "Observer design of discrete-time T-S fuzzy systems via multi-instant homogenous matrix polynomials," IEEE Trans. Fuzzy Syst., vol. 22, no. 6, pp. 1714-1719, 2014.
DOI
|
6 |
T. Chen and B. A. Francis, "Optimal sampled-data control systems," Springer, 2012.
|
7 |
D. W. Kim, H. J. Lee, and M. Tomizuka, "Fuzzy stabilization of nonlinear systems under sampled-data feedback: an exact discrete-time model approach," IEEE Trans. Fuzzy Systs., vol. 18, no. 2, pp. 251-260, 2010.
|
8 |
D. W. Kim and H. J. Lee, "Sampled-data observerbased output-feedback fuzzy stabilization of nonlinear systems: Exact discrete-time design approach," Fuzzy Sets and Syst., vol. 201, pp. 20-39, 2012.
DOI
|
9 |
D. W. Kim, J. B. Park, and Y. H. Joo, "Effective digital implementation of fuzzy control systems based on approximate discrete-time models," Automatica, vol. 43, pp. 1671-1683, 2007.
DOI
|
10 |
G. B. Koo, J. B. Park, and Y. H. Joo, "Decentralized sampled-data fuzzy observer design for nonlinear interconnected systems," IEEE Trans. Fuzzy Syst., vol. 24, no. 3, pp. 661-674, 2016.
DOI
|
11 |
K. Tanaka and H. O. Wang, "Fuzzy control systems design and analysis: a linear matrix inequality approach," Wiley, 2001.
|
12 |
T. M. Guerra and V. Laurent, "LMI-based relaxed nonquadratic stabilization conditions for nonlinear systems in the Takagi-Sugen's form," Automatica, vol. 40, pp. 823-829, 2004.
DOI
|
13 |
X. Xie, D. Yue, and X. Zhu, "Further studies on control synthesis of discrete-time T-S fuzzy systems via useful matrix equalities," IEEE Trans. Fuzzy Syst., vol. 22, no. 4, pp. 1026-1031, 2014.
DOI
|
14 |
X. P. Xie and S. L. Hu, "Relaxed stability criteria for discrete-time Takagi-Sugeno fuzzy systems via new augmented nonquadratic Lyapunov functions," Neurocom., vol. 166, pp. 416-421, 2015.
DOI
|
15 |
S. Bouabdallah, A. Noth, and R. Siegwart, "PID vs LQ control techniques applied to an imdoor micro quadrotor," IEEE/RSJ Int. Conf. on Intel., Robots, Syst., pp. 2451-2456, 2004.
|
16 |
S. O. H. Madgwick, A. J. L. Harrison, and R. Vaidyanathan, "Estimation of IMU and MARG orientation using a gradient decent algorithm," IEEE Conf. Rehab. Robot., pp. 1-7, 2011.
|
17 |
R. E. Kalman, "A new approach to linear filtering and prediction problems," J. Basic Eng., vol. 82, pp. 35-45, 1960.
DOI
|
18 |
W. Li and J. Wang, "Effective adaptive Kalman filter for MEMS-IMU/Magnetometers integrated attitude and heading reference systems," J. Nav., vol. 66, pp. 99-113, 2013.
DOI
|
19 |
M. Wang, Y. Yang, R. R. Hatch, and Y. Zhang, "Adaptive filter for a miniature MEMS based attitude and heading reference system," Pos. Local. Nav. Sympo., pp. 26-29, 2004.
|
20 |
T. S. Yoo, S. K. Hong, H. M. Yoon, and S. Park, "Gain-scheduled complementary filter design for a MEMS based attitude and heading reference system," Sensors, vol. 11, pp. 3816-3830, 2011.
DOI
|
21 |
R. B. Widodo, H. Edayoshi, and C. Wada, "Complementary filter for orientation estimation: adaptive gain based on dynamic acceleration and its change," SCIS and ISIS 2014, pp. 906-909, 2014.
|
22 |
K. Gu, "An integral inequality in the stability problem of time-delay systems," in Proc. 39th IEEE Conf. Decis. Cont., pp. 2805-2810, 2000.
|
23 |
G. B. Koo, J. B. Park, and Y. H. Joo, "Guaranteed cost sampled-data fuzzy control for non-linear systems: A continuous-time Lyapunov approach," IET Cont. Theo. Appl., vol. 7, no. 13, pp. 1745-1752, 2013.
DOI
|
24 |
J. Lofberg, "YALMIP: a toolbox for modeling and optimization in MATLAB," in Proc. CACSD Conf., pp. 284-289, 2004.
|
25 |
J. F. Sturm, "Using SeDuMi 1.02, a MATLAB toolbox for optimization over symmetric cones," Opt. Meth. Soft., vol. 11, pp. 625-653, 1999.
DOI
|