Robust design of non-stationary sinusoidal unknown inputs multiobserver based on decoupled state multimodel

This paper deals with the design of robust non-stationary sinusoidal unknown inputmultiobserver for discrete-time nonlinear systems described by decoupled state multimodel. The particularity of this work resides in the fact that it provides a simultaneous state and non-stationary sinusoidal unknown inputs estimations. A new robust strategy allowing the minimization of the non-stationary sinusoidal unknown inputs and disturbances impact on the state estimation error will be developed.

[1]  S. Ibrir Robust state estimation with q-integral observers , 2004, Proceedings of the 2004 American Control Conference.

[2]  Mohamed Benallouch Observation des systèmes non-linéaire à entrées inconnues : application à la pile à combustible de type PEM , 2009 .

[3]  Zhiwei Gao,et al.  Robust fault estimation approach and its application in vehicle lateral dynamic systems , 2007 .

[4]  B. Marx,et al.  On the simultaneous state and unknown input estimation of complex systems via a multiple model strategy , 2009 .

[5]  F. Liu SYNTHÈSES D'OBSERVATEURS A ENTREES INCONNUES POUR LES SYSTÈMES NON LINEAIRES , 2007 .

[6]  Ridha Ben Abdennour,et al.  Optimal Systematic Determination of Models’ Base for Multimodel Representation: Real Time Application , 2014, Int. J. Autom. Comput..

[7]  J. Ragot,et al.  Estimating the state and the unknown inputs of nonlinear systems using a multiple model approach , 2008, 2008 16th Mediterranean Conference on Control and Automation.

[8]  Rodolfo Orjuela Contribution à l'estimation d'état et au diagnostic des systèmes représentés par des multimodèles , 2008 .

[9]  Didier Maquin,et al.  Fault tolerant control for Takagi-Sugeno systems with unmeasurable premise variables by trajectory tracking , 2010, 2010 IEEE International Symposium on Industrial Electronics.

[10]  Dimitar Filev Fuzzy modeling of complex systems , 1991, Int. J. Approx. Reason..

[11]  Hong Wang,et al.  Discrete-time proportional and integral observer and observer-based controller for systems both with unknown input and output disturbances , 2007 .

[12]  Jeang-Lin Chang,et al.  Applying discrete-time proportional Integral observers for state and disturbance estimations , 2006, IEEE Trans. Autom. Control..

[13]  Guo-Ping Jiang,et al.  Design of observer with integrators for linear systems with unknown input disturbances , 2000 .

[14]  Damien Koenig,et al.  Unknown input proportional multiple-integral observer design for linear descriptor systems: application to state and fault estimation , 2005, IEEE Transactions on Automatic Control.

[15]  Michio Sugeno,et al.  Fuzzy identification of systems and its applications to modeling and control , 1985, IEEE Transactions on Systems, Man, and Cybernetics.

[16]  Electronics Letters , 1965, Nature.

[17]  G. Duan,et al.  Proportional multiple‐integral observer design for continuous‐time descriptor linear systems , 2012 .