Details

Title

A robust predictive actuator fault-tolerant control scheme for Takagi-Sugeno fuzzy systems

Journal title

Bulletin of the Polish Academy of Sciences: Technical Sciences

Yearbook

2015

Volume

63

Numer

No 4

Authors

Divisions of PAS

Nauki Techniczne

Coverage

977-987

Date

2015[2015.01.01 AD - 2015.12.31 AD]

References

Takagi (1985), Fuzzy identification of systems and its application to modeling and control Systems Man and Cybernetics, IEEE Trans, 15, 116. ; Korbicz (2007), LMI - based strategies for designing observers and unknown input observers for non - linear discrete - time systems Bull Pol, Tech, 55, 31. ; Witczak (2013), de Oca A fault - tolerant control strategy for non - linear discrete - time systems : application to the twin - rotor system, Control, 86, 1788, doi.org/10.1080/00207179.2013.796592 ; Li (1997), A linear matrix inequality approach to robust h filtering Signal Processing, IEEE Trans, 45, 2338, doi.org/10.1109/78.622956 ; Blanchini (1999), Set invariance in control, Automatica, 35, 1747, doi.org/10.1016/S0005-1098(99)00113-2 ; Zongli (2007), Set invariance conditions for singu - lar linear systems subject to actuator saturation Automatic Control, IEEE Trans, 52, 2351. ; Derinkuyu (2006), On the s - procedure and some variants Mathematical Methods of Operations, Research, 64, 55. ; Imsland (2005), More efficient predictive control, Automatica, 41, 1395, doi.org/10.1016/j.automatica.2005.03.010 ; Daafouz (2002), Stability analysis and control synthesis for switched systems : a switched lyapunov function approach Automatic Control, IEEE Trans, 47, 1883. ; Kouvaritakis (2000), Efficient robust predictive control Automatic Control, IEEE Trans, 45, 1545. ; Alessandri (2006), Design of state estimators for uncertain linear systems using quadratic boundedness, Automatica, 42, 497, doi.org/10.1016/j.automatica.2005.10.013 ; Delmotte (2007), Continuous takagi sugeno s models : reduction of the number of lmi con - ditions in various fuzzy control design technics Fuzzy Systems, IEEE Trans, 15, 426. ; Gillijns (2007), De Moor Unbiased minimum - variance input and state estimation for linear discrete - time systems, Automatica, 43, 111, doi.org/10.1016/j.automatica.2006.08.002 ; Witczak (2007), Design of an extended unknown input observer with stochastic robustness techniques and evo - lutionary algorithms, Control, 80, 749, doi.org/10.1080/00207170601178108 ; Chadli (2013), Robust observer design for un - known inputs Takagi - Sugeno models on Fuzzy Systems, IEEE Trans, 21, 158. ; Tuan (2001), Para - meterized linear matrix inequality techniques in fuzzy control system design Fuzzy Systems, IEEE Trans, 9, 324. ; Kouvaritakis (2002), Who needs QP for linear MPC anyway ?, Automatica, 38, 879, doi.org/10.1016/S0005-1098(01)00263-1 ; Ichalal (2012), Advances in observer design for takagi - sugeno systems with unmeasurable premise variables th IEEE Mediterranean Conf on Con - trol & Automation, MED, 20, 848. ; Kouvaritakis (2005), Extended invari - ance and its use in model predictive control, Automatica, 41. ; Wang (1996), An approach to fuzzy control of nonlinear systems : stability and design is - sues Fuzzy Systems, IEEE Trans, 4, 14. ; Gilbert (1991), Linear systems with state and con - trol constraints : The theory and application of maximal output admissible sets Automatic Control, IEEE Trans, 36, 1008.

DOI

10.1515/bpasts-2015-0111

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