Information Technology Reference
In-Depth Information
Bergsten, P., Palm, R., & Driankov, D. (2002). Observers for Takagi-Sugeno fuzzy systems. IEEE
Transactions on System, Man, Cybernetics B, Cybernetics, 32(1), 114
-
121.
Boyd, S., El Ghaoui, L., Feron, E., & Balakrishnan, V. (1994). Linear matrix inequalities in system
and control theory. Studies in Applied Mathematics (volume 15). Philadelphia, PA: SIAM.
Chadli, M. (2010). An LMI Approach to design observer for unknown inputs Takagi-Sugeno
fuzzy models. Asian Journal of Control, 12(4), 524
530.
Chadli, M. & Borne, P. (2012). Multimod
è
les en Automatique: Outils Avanc
é
sd
'
Analyses et de
Synth
-
s-Lavoisier.
Chadli, M. & Borne, P. (2013). Multiple models approach in automation: Takagi-Sugeno fuzzy
systems. Hardcover.
Chadli, M. & Coppier, H. (2013). Command-control for real-time systems. Hardcover, page 368.
Chadli, M., & Guerra, T.-M. (2012). LMI solution for robust static output feedback control of
Takagi-Sugeno fuzzy models. IEEE Transaction on Fuzzy Systems, 20(6), 1160
se. Herm
è
è
1165.
Chadli, M., & Karimi, H. R. (2012). Robust observer design for unknown inputs Takagi-Sugeno
models. IEEE Transaction on Fuzzy Systems, 21(1), 158
-
164.
Darouach, M., Zasadzinski, M., & Xu, S. (1994). Full order observer for linear systems with
unknown inputs. IEEE Transaction on Automatic Control, 39(3), 606
-
609.
Gao, Z., Shi, X., & Ding, S. X. (2008). Fuzzy state/disturbance observer design for T-S fuzzy
systems with application to sensor fault estimation. IEEE Transaction on System, Man,
Cybernetics, Part B., 38(3), 875
-
880.
Guan, Y., & Saif, M. (1991). A novel approach to the design of unknown input observers. IEEE
Transaction on Automatic Control, 36(5), 632
-
635.
Hou, M., & Muller, P. (1992). Design of observers for linear systems with unknown inputs. IEEE
Transaction on Automatic Control, 37(6), 871
-
874.
Ichalal, D., Marx, B., Maquin, D., & Ragot, J. (2012). Observer design and fault tolerant control
of Takagi-Sugeno nonlinear systems with unmeasurable premise variables. Fault Diagnosis in
Robotic and Industrial Systems, Gerasimos Rigatos ed., iConceptPress.
Ichalal, D., Marx, B., Ragot, J., & Maquin, D. (2009). Fault diagnosis for Takagi-Sugeno
nonlinear systems. In 7th IFAC Symposium on Fault Detection, Supervision and Safety of
Technical Processes, pages 504
-
509.
Keller, H. (1987). Non-linear observer design by transformation into a generalized observer
canonical form. International Journal of Control, 46(6), 1915
-
1930.
Khalil, H. K. (1996). Nonlinear systems (2nd ed.). Englewood Cliffs, NJ: Prentice-Hall.
Lendek, Z., Lauber, J., Guerra, T. M., Babuska, R., & De Schutter, B. (2010). Adaptive observers
for TS fuzzy systems with unknown polynomial inputs. Fuzzy Sets and Systems, 161(15),
2043
-
2065.
Li, T. H. S., & Tsai, S. H. (2007). T-S Fuzzy bilinear model and fuzzy controller design for a class
of nonlinear systems. IEEE Transaction on Fuzzy Systems, 15(3), 494
-
506.
Li, T. H. S., Tsai, S. H., Lee, J. Z., Hsiao, M. Y., & Chao, C. H. (2008). Robust H infinity fuzzy
control for a class of uncertain discrete fuzzy bilinear systems. IEEE Transaction on System,
Man, and Cybernetics, 38(2), 510
-
527.
Liu, X., & Zhang, Q. (2003). New approaches to H
∞
controller designs based on fuzzy observers
for T-S fuzzy systems via LMI. Automatica, 39(9), 1571
-
1582.
Ma, K. M. (2002). Observer design for a class of fuzzy systems. In Proceedings of the First
International Conference on Machine Learning and Cybernetics, Vol. 1, pages 46
-
49.
Ma, X. J., & Sun, Z. Q. (2001). Analysis and design of fuzzy reduced-dimensional observer and
fuzzy functional observer. Fuzzy Sets and Systems, 120(1), 35
-
63.
Marx, B., Koenig, D., & Ragot, J. (2007). Design of observers for Takagi-Sugeno descriptor
systems with unknown inputs and application to fault diagnosis. Control Theory and
Applications, IET, 1(5), 1487
-
1495.
Murray-Smith, R. & Johansen, T. (1997). Multiple model approaches to modelling and control.
Taylor and Francis.
-
Search WWH ::
Custom Search