Observer-Based H∞ Synchronization and Unknown Input Recovery for a Class of Digital Nonlinear Systems

This paper considers the synchronization and unknown input recovery problem for a class of digital nonlinear systems based on a nonlinear observer approach. A generalized Luenberger-like observer is introduced for a class of discrete-time Lipschitz nonlinear systems. Stability conditions for the existence of asymptotic observers are established in terms of some linear matrix inequalities. It is shown that the proposed conditions are less conservative than some existing ones in the recent literature. Moreover, an observer design method is used to address the problem of H∞ synchronization and unknown input recovery for a class of Lipschitz nonlinear systems in the presence of disturbances in both the state and output equations. Finally, a numerical example is provided to illustrate the effectiveness of the proposed design.

[1]  Stephen P. Boyd,et al.  Linear Matrix Inequalities in Systems and Control Theory , 1994 .

[2]  Mohamed Boutayeb,et al.  Synchronization and input recovery in digital nonlinear systems , 2004, IEEE Transactions on Circuits and Systems II: Express Briefs.

[3]  A. Zemouche,et al.  Nonlinear-Observer-Based ${\cal H}_{\infty}$ Synchronization and Unknown Input Recovery , 2009, IEEE Transactions on Circuits and Systems I: Regular Papers.

[4]  Guang-Ren Duan,et al.  Robust Adaptive Fault Estimation for a Class of Nonlinear Systems Subject to Multiplicative Faults , 2012, Circuits Syst. Signal Process..

[5]  Q. P. Haa,et al.  State and input simultaneous estimation for a class of nonlinear systems , 2004 .

[6]  Masoud Abbaszadeh,et al.  LMI optimization approach to robust H∞ observer design and static output feedback stabilization for discrete‐time nonlinear uncertain systems , 2009 .

[7]  Huijun Gao,et al.  Finite Frequency $H_{\infty }$ Control for Vehicle Active Suspension Systems , 2011, IEEE Transactions on Control Systems Technology.

[8]  Ji-Qing Qiu,et al.  Fault Estimation for Nonlinear Dynamic Systems , 2012, Circuits Syst. Signal Process..

[9]  Daniel W. C. Ho,et al.  Full-order and reduced-order observers for Lipschitz descriptor systems: the unified LMI approach , 2006, IEEE Transactions on Circuits and Systems II: Express Briefs.

[10]  Xiushan Cai,et al.  Robust stability criteria for systems with interval time-varying delay and nonlinear perturbations , 2010, J. Comput. Appl. Math..

[11]  Zhengzhi Han,et al.  A note on observers for Lipschitz nonlinear systems , 2002, IEEE Trans. Autom. Control..

[12]  Ali Zemouche,et al.  Observer synthesis for Lipschitz discrete-time systems , 2005, 2005 IEEE International Symposium on Circuits and Systems.

[13]  Huijun Gao,et al.  Finite Frequency H∞ Control for Vehicle Active Suspension Systems , 2011 .

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

[15]  Dong Yue,et al.  A Note on Observers for Discrete-Time Lipschitz Nonlinear Systems , 2012, IEEE Transactions on Circuits and Systems II: Express Briefs.

[16]  Nicolas Privault The Discrete Time Case , 2009 .

[17]  D N Vizireanu,et al.  Simple, fast and accurate eight points amplitude estimation method of sinusoidal signals for DSP based instrumentation , 2012 .

[18]  E. Yaz Linear Matrix Inequalities In System And Control Theory , 1998, Proceedings of the IEEE.

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

[20]  Qing Zhao,et al.  H/sub /spl infin// observer design for lipschitz nonlinear systems , 2006, IEEE Transactions on Automatic Control.

[21]  F. Thau Observing the state of non-linear dynamic systems† , 1973 .

[22]  Vahid Johari Majd,et al.  A Nonlinear Adaptive Resilient Observer Design for a Class of Lipschitz Systems Using LMI , 2011, Circuits Syst. Signal Process..

[23]  D N Vizireanu,et al.  A fast, simple and accurate time-varying frequency estimation method for single-phase electric power systems , 2012 .

[24]  Ilya V. Kolmanovsky,et al.  Predictive energy management of a power-split hybrid electric vehicle , 2009, 2009 American Control Conference.

[25]  Minyue Fu,et al.  Reduced-order H ∞ filtering for discrete-time singular systems with lossy measurements , 2010 .

[26]  Wei Zhang,et al.  Computation of Upper Bounds for the Solution of Continuous Algebraic Riccati Equations , 2013, Circuits Syst. Signal Process..

[27]  F. Zhu Full-order and reduced-order observer-based synchronization for chaotic systems with unknown disturbances and parameters☆ , 2008 .

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

[29]  Housheng Su,et al.  Full-order and reduced-order observers for one-sided Lipschitz nonlinear systems using Riccati equations , 2012 .

[30]  Vladimir A. Yakubovich,et al.  Linear Matrix Inequalities in System and Control Theory (S. Boyd, L. E. Ghaoui, E. Feron, and V. Balakrishnan) , 1995, SIAM Rev..

[31]  R. Rajamani,et al.  Observer design for Lipschitz nonlinear systems using Riccati equations , 2010, Proceedings of the 2010 American Control Conference.

[32]  Xiaomei Zhang,et al.  Synchronization for Time-Delay Lur’e Systems with Sector and Slope Restricted Nonlinearities Under Communication Constraints , 2011, Circuits Syst. Signal Process..

[33]  Housheng Su,et al.  Non-linear observer design for one-sided Lipschitz systems: An linear matrix inequality approach , 2012 .

[34]  Petar V. Kokotovic,et al.  Nonlinear observers: a circle criterion design and robustness analysis , 2001, Autom..

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

[36]  Ali Zemouche,et al.  Observer Design for Lipschitz Nonlinear Systems: The Discrete-Time Case , 2006, IEEE Transactions on Circuits and Systems II: Express Briefs.