H∞ circle criterion observer design for Lipschitz nonlinear systems with enhanced LMI conditions

This note deals with observer design for Lipschitz nonlinear systems via LMI. A new LMI condition is proposed to solve the problem of H∞ circle criterion observer design. This enhanced LMI is less conservative than those proposed in the literature for the same class of systems by using the same methodology. Indeed, thanks to a new and judicious use of the Young's relation, additional degree of freedoms are included in the LMI, contrarily to some recent results, which turn to be particular cases of what we proposed in this paper. This additional decision variables allow to improve the feasibility of the proposed LMI. A numerical example is given to show the effectiveness of the proposed methodology.

[1]  Costas Kravaris,et al.  Nonlinear observer design for state and disturbance estimation , 2004 .

[2]  M. Abbaszadeh,et al.  Nonlinear observer design for one-sided Lipschitz systems , 2010, Proceedings of the 2010 American Control Conference.

[3]  Rajesh Rajamani,et al.  Nonlinear Observer for Bounded Jacobian Systems, With Applications to Automotive Slip Angle Estimation , 2011, IEEE Transactions on Automatic Control.

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

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

[6]  Dragan Nesic,et al.  A robust circle criterion observer with application to neural mass models , 2012, Autom..

[7]  Ali Zemouche,et al.  A unified Hinfinity adaptive observer synthesis method for a class of systems with both Lipschitz and monotone nonlinearities , 2009, Syst. Control. Lett..

[8]  Ali Zemouche,et al.  ℋ∞ Observers design for a class of nonlinear time-delay systems in descriptor form , 2011, Int. J. Control.

[9]  Petar V. Kokotovic,et al.  Observer-based control of systems with slope-restricted nonlinearities , 2001, IEEE Trans. Autom. Control..

[10]  Behçet Açikmese,et al.  Observers for systems with nonlinearities satisfying incremental quadratic constraints , 2011, Autom..

[11]  Angelo Alessandri,et al.  Time-varying increasing-gain observers for nonlinear systems , 2013, Autom..

[12]  Ali Zemouche,et al.  On LMI conditions to design observers for Lipschitz nonlinear systems , 2013, Autom..

[13]  Dan Simon,et al.  Optimal State Estimation: Kalman, H∞, and Nonlinear Approaches , 2006 .

[14]  Ali Zemouche,et al.  Observers for a class of Lipschitz systems with extension to Hinfinity performance analysis , 2008, Syst. Control. Lett..

[15]  J. Tsinias,et al.  Time-varying observers for a class of nonlinear systems , 2008, Syst. Control. Lett..

[16]  P. Olver Nonlinear Systems , 2013 .

[17]  Salim Ibrir,et al.  Circle-criterion approach to discrete-time nonlinear observer design , 2007, Autom..

[18]  A. Krener,et al.  Nonlinear observers with linearizable error dynamics , 1985 .

[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.  A simple observer for nonlinear systems applications to bioreactors , 1992 .

[21]  Murat Arcak,et al.  Observer design for systems with multivariable monotone nonlinearities , 2003, Syst. Control. Lett..

[22]  Angelo Alessandri,et al.  Increasing-gain observers for nonlinear systems: Stability and design , 2015, Autom..

[23]  Yan Wang,et al.  Observer design for differentiable Lipschitz nonlinear systems with time-varying parameters , 2014, 53rd IEEE Conference on Decision and Control.