×

High gain observer for a class of non-triangular systems. (English) Zbl 1207.93014

Summary: This paper presents a high gain observer for a class of MIMO nonlinear systems involving some uncertainties. The latter is particularly composed of cascade subsystems where each subsystem is associated with a subset of the output variables, and assumes a triangular dependence on its own state variables and may depend on the state variables of all other subsystems. The main contribution consists in extending the available results to allow more interconnections between the subsystems. Of fundamental interest, it is shown that the underlying observation error exponentially converges to zero in the absence of uncertainties. Moreover, the observation error can be made as small as desired by properly specifying the observer design parameter in the case where uncertainties are considered.

MSC:

93B07 Observability
93C10 Nonlinear systems in control theory
93C15 Control/observation systems governed by ordinary differential equations

References:

[1] Kalman, R. E.; Bucy, R. S., New results in linear filtering and prediction theory, J. Basic Eng., 95-108 (1961)
[2] Krener, A. J.; Isidori, A., Linearization by output injection and nonlinear observers, Systems Control Lett., 3, 47-52 (1983) · Zbl 0524.93030
[3] Krener, A. J.; Respondek, W., Nonlinear observers with linearizable error dynamics, SIAM J. Control Optim., 23, 197-216 (1985) · Zbl 0569.93035
[4] Xia, X. H.; Gao, W. B., Nonlinear observer design by observer error linearization, SIAM J. Control Optim., 27, 1, 199-216 (1989) · Zbl 0667.93014
[5] Hou, M.; Pugh, A. C., Observer with linear error dynamics for nonlinear multi-output systems, Systems Control Lett., 37, 1-9 (1999) · Zbl 0917.93010
[6] Guay, M., Observer linearization by output-dependent time-scale transformations, IEEE Trans. Automat. Control, 47, 1730-1735 (2002) · Zbl 1364.93087
[7] Souleiman, I.; Glumineau, A.; Schreirer, G., Direct transformation of nonlinear systems into state affine MISO form and nonlinear observers design, IEEE Trans. Automat. Control, 48, 2191-2196 (2003) · Zbl 1364.93288
[8] Boutat, D.; Benali, A.; Hammouri, H.; Busawon, K., New algorithm for observer error linearization with a diffeomorphism on the outputs, Automatica, 45, 2187-2193 (2009) · Zbl 1179.93050
[9] Rajamani, R., Observers for Lipschitz nonlinear systems, IEEE Trans. Automat. Control, 43, 3, 397-401 (1998) · Zbl 0905.93009
[10] Zemouche, A.; Boutayeb, M., A unified \(H_\infty\) adaptive observer synthesis method for a class of systems with both Lipschitz and monotone nonlinearities, Systems Control Lett., 58, 282-288 (2009) · Zbl 1159.93014
[11] Arcak, M.; Kokotović, P., Nonlinear observers: a circle criterion design and robustness analysis, Automatica, 37, 1923-1930 (2001) · Zbl 0996.93010
[12] Gauthier, J. P.; Bornard, G., Observability for any \(u(t)\) of a class of nonlinear systems, IEEE Trans. Automat. Control, 26, 922-926 (1981) · Zbl 0553.93014
[13] Gauthier, J. P.; Hammouri, H.; Othman, S., A simple observer for nonlinear systems—application to bioreactors, IEEE Trans. Automat. Control, 37, 875-880 (1992) · Zbl 0775.93020
[14] Deza, F.; Busvelle, E.; Gauthier, J. P., Exponentially converging observers for distillation columns and internal stability for the dynamic output feedback, Chem. Eng. Sci., 47, 3935-3941 (1992)
[15] Gauthier, J. P.; Kupka, I. A.K., Observability and observers for nonlinear systems, SIAM J. Control Optim., 32, 975-994 (1994) · Zbl 0802.93008
[16] Rudolph, J.; Zeitz, M., A block triangular nonlinear observer normal form, Systems Control Lett., 23, 1-8 (1994) · Zbl 0818.93006
[17] Busawon, K.; Farza, M.; Hammouri, H., Observer design for a special class of nonlinear systems, Internat. J. Control, 71, 405-418 (1998) · Zbl 0944.93003
[18] Hou, M.; Busawon, K.; Saif, M., Observer design based on triangular form generated by injective map, IEEE Trans. Automat. Control, 45, 7, 1350-1355 (2000) · Zbl 0991.93018
[19] Shim, H.; Son, Y. I.; Seo, J. H., Semi-global observer for multi-output nonlinear systems, Systems Control Lett., 42, 233-244 (2001) · Zbl 0985.93006
[20] Farza, M.; M’Saad, M.; Rossignol, L., Observer design for a class of MIMO nonlinear systems, Automatica, 40, 135-143 (2004) · Zbl 1035.93012
[21] Hammouri, H.; Farza, M., Nonlinear observers for locally uniformly observable systems, ESAIM J. Control Optim. Calc. Var., 9, 353-370 (2003) · Zbl 1063.93012
[22] Kazantzis, N.; Kravaris, C., Nonlinear observer design using Lyapunov’s auxiliary theorem, Systems Control Lett., 34, 241-247 (1998) · Zbl 0909.93002
[23] Fliess, M.; Join, C.; Sira-Ramirez, H., Nonlinear estimation is easy, Int. J. Model. Ident. Control, 4, 1, 12-27 (2008)
[24] Jaulin, L., Robust set-membership state estimation; application to underwater robotics, Automatica, 45, 2002-2006 (2009) · Zbl 1154.93431
[25] M. Farza, M. Triki, T. Maatoug, M. M’Saad, B. Dahhou, Unknown inputs observers for a class of nonlinear systems, in: Proc. of the 10th Int. Conf. of Sciences & Techniques of Automatic, Hammamet, Tunisia, 2009.; M. Farza, M. Triki, T. Maatoug, M. M’Saad, B. Dahhou, Unknown inputs observers for a class of nonlinear systems, in: Proc. of the 10th Int. Conf. of Sciences & Techniques of Automatic, Hammamet, Tunisia, 2009.
[26] G. Bornard, H. Hammouri, A high gain observer for a class of uniformly observable systems, in: Proc. 30th IEEE Conference on Decision and Control, vol. 122, Brighton, England, 1991.; G. Bornard, H. Hammouri, A high gain observer for a class of uniformly observable systems, in: Proc. 30th IEEE Conference on Decision and Control, vol. 122, Brighton, England, 1991.
[27] G. Bornard, H. Hammouri, A graph approach to uniform observability of nonlinear multi output systems, in: Proc. of the 41st IEEE Conference on Decision and Control, Las Vegas, Nevada, USA, 2002.; G. Bornard, H. Hammouri, A graph approach to uniform observability of nonlinear multi output systems, in: Proc. of the 41st IEEE Conference on Decision and Control, Las Vegas, Nevada, USA, 2002.
[28] Shena, Y.; Xia, X., Semi-global finite-time observers for nonlinear systems, Automatica, 44, 3152-3156 (2008) · Zbl 1153.93332
[29] H. Shim, A passivity-based nonlinear observer and a semi-global separation principle, Ph.D. Thesis, School of Electrical Engineering, Seoul National University, 2000.; H. Shim, A passivity-based nonlinear observer and a semi-global separation principle, Ph.D. Thesis, School of Electrical Engineering, Seoul National University, 2000.
This reference list is based on information provided by the publisher or from digital mathematics libraries. Its items are heuristically matched to zbMATH identifiers and may contain data conversion errors. In some cases that data have been complemented/enhanced by data from zbMATH Open. This attempts to reflect the references listed in the original paper as accurately as possible without claiming completeness or a perfect matching.