Observer design for a class of uncertain nonlinear systems with sampled outputs - Application to the estimation of kinetic rates in bioreactors

A continuous-discrete time observer is proposed for a class of uncertain nonlinear systems where the output is available only at non uniformly spaced sampling instants. The underlying correction term depends on the output observation error and is updated in a mixed continuous-discrete fashion. The proposed observer is first introduced under a set of differential equations with instantaneous state impulses corresponding to the measured samples and their estimates. Two features of the proposed observer are worth to be pointed out. The first one consists in the simplicity of its calibration while the second one lies in its comprehensive convergence analysis. More specifically, it is shown that in the case of noise-free sampled outputs, the observation error lies in a ball centered at the origin and its radius is proportional to the bounds of the uncertainties and the sampling partition diameter. Moreover, in the free uncertainties case, the exponential convergence to zero of the observation error is established under a well-defined condition on the maximum value of the sampling partition diameter. The ability of the proposed observer to perform a suitable estimation of the reactions rates in biochemical reactors is highlighted through a simulation study dealing with an ethanolic fermentation.

[1]  D. Dochain,et al.  On-Line Estimation and Adaptive Control of Bioreactors , 2013 .

[2]  Mohammed M'Saad,et al.  Adaptive observers for nonlinearly parameterized class of nonlinear systems , 2009, Autom..

[3]  Denis Dochain,et al.  State and parameter estimation in chemical and biochemical processes: a tutorial , 2003 .

[4]  Frank Allgöwer,et al.  Observer with sample-and-hold updating for Lipschitz nonlinear systems with nonuniformly sampled measurements , 2008, 2008 American Control Conference.

[5]  Ronghou Liu,et al.  Kinetics of Batch Fermentations for Ethanol Production with Immobilized Saccharomyces cerevisiae Growing on Sweet Sorghum Stalk Juice , 2012 .

[6]  M. Farza,et al.  Simple nonlinear observers for on-line estimation of kinetic rates in bioreactors , 1998, Autom..

[7]  H. Hammouri,et al.  Nonlinear observers for locally uniformly observable systems , 2003 .

[8]  Jesús Picó,et al.  Specific growth rate estimation in (fed-)batch bioreactors using second-order sliding observers , 2011 .

[9]  L. Praly,et al.  Remarks on the existence of a Kazantzis-Kravaris/Luenberger observer , 2004, CDC.

[10]  P. Olver Nonlinear Systems , 2013 .

[11]  H. Shim,et al.  Semi-global observer for multi-output nonlinear systems , 2001 .

[12]  Iasson Karafyllis,et al.  From Continuous-Time Design to Sampled-Data Design of Observers , 2009, IEEE Transactions on Automatic Control.

[13]  Mohammed M'Saad,et al.  High gain observer for a class of non-triangular systems , 2011, Syst. Control. Lett..

[14]  Hassan Hammouri,et al.  Constant gain observer for continuous-discrete time uniformly observable systems , 2006, Proceedings of the 45th IEEE Conference on Decision and Control.

[15]  R. Rajamani Observers for Lipschitz nonlinear systems , 1998, IEEE Trans. Autom. Control..

[16]  C. Kravaris,et al.  Nonlinear observer design using Lyapunov's auxiliary theorem , 1997, Proceedings of the 36th IEEE Conference on Decision and Control.

[17]  F. Allgower,et al.  An adaptive high-gain observer for nonlinear systems , 1997, Proceedings of the 36th IEEE Conference on Decision and Control.

[18]  Arthur J. Krener,et al.  Linearization by output injection and nonlinear observers , 1983 .

[19]  Mohammed M'Saad,et al.  A high gain observer with updated gain for a class of MIMO non-triangular systems , 2012, Syst. Control. Lett..

[20]  J. Gauthier,et al.  High gain estimation for nonlinear systems , 1992 .

[21]  J. Gauthier,et al.  A simple observer for nonlinear systems applications to bioreactors , 1992 .

[22]  J. Gauthier,et al.  Deterministic Observation Theory and Applications , 2001 .

[23]  Alessandro Astolfi,et al.  High gain observers with updated gain and homogeneous correction terms , 2009, Autom..

[24]  Vincent Andrieu,et al.  On the Existence of a Kazantzis--Kravaris/Luenberger Observer , 2006, SIAM J. Control. Optim..

[25]  K. Ulgen,et al.  Mathematical description of ethanol fermentation by immobilised Saccharomyces cerevisiae , 1998 .

[26]  Mohammed M'Saad,et al.  Observer design for a class of MIMO nonlinear systems , 2004, Autom..

[27]  Hassan Hammouri,et al.  Observer Design for Uniformly Observable Systems With Sampled Measurements , 2013, IEEE Transactions on Automatic Control.