Robust Nonlinear Observer for Lipschitz Nonlinear Systems Subject to Disturbances

This note proposes a robust nonlinear observer for systems with Lipschitz nonlinearity. The proposed nonlinear observer, whose linear part adopts the linear LTR observer design technique, has two important advantages over previous designs. First, the new observer does not impose the small-Lipschitz-constant condition on the system nonlinearity, nor other structural conditions on the system dynamics as in the existing observer designs. Second, it is robust in the sense that its state estimation error decays to almost zero even in the face of large external disturbances.

[1]  Swaroop Darbha,et al.  Dynamic surface control for a class of nonlinear systems , 2000, IEEE Trans. Autom. Control..

[2]  S. Żak,et al.  State observation of nonlinear uncertain dynamical systems , 1987 .

[3]  G. Stein,et al.  The LQG/LTR procedure for multivariable feedback control design , 1987 .

[4]  Zak On the stabilization and observation of nonlinear/uncertain dynamic systems , 1989 .

[5]  Shuzhi Sam Ge,et al.  Robust adaptive control of nonlinear systems with unknown time delays , 2004, Proceedings of the 2004 IEEE International Symposium on Intelligent Control, 2004..

[6]  Shuzhi Sam Ge,et al.  Practical adaptive neural control of nonlinear systems with unknown time delays , 2005, Proceedings of the 2004 American Control Conference.

[7]  Frank L. Lewis,et al.  Applied Optimal Control and Estimation , 1992 .

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

[9]  Frank L. Lewis,et al.  Optimal Control , 1986 .

[10]  J. Hedrick,et al.  Nonlinear Observers—A State-of-the-Art Survey , 1989 .

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

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

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

[14]  P. P. Yip,et al.  Adaptive dynamic surface control : a simplified algorithm for adaptive backstepping control of nonlinear systems , 1998 .

[15]  A. Alessandri Observer design for nonlinear systems by using Input-to-State Stability , 2004, 2004 43rd IEEE Conference on Decision and Control (CDC) (IEEE Cat. No.04CH37601).

[16]  Shuzhi Sam Ge,et al.  Adaptive neural network control of nonlinear systems with unknown time delays , 2003, IEEE Trans. Autom. Control..

[17]  Riccardo Marino,et al.  Nonlinear control design , 1995 .

[18]  K. Narendra,et al.  A New Adaptive Law for Robust Adaptation without Persistent Excitation , 1986, 1986 American Control Conference.

[19]  Hyungbo Shim,et al.  Nonlinear observer design via passivation of error dynamics , 2003, Autom..

[20]  H. Hammouri,et al.  On uniform observation of nonuniformly observable systems , 1996 .

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

[22]  G. Stein,et al.  Robustness with observers , 1978, 1978 IEEE Conference on Decision and Control including the 17th Symposium on Adaptive Processes.

[23]  Tzyh Jong Tarn,et al.  Exponential Observers for Nonlinear Dynamic Systems , 1975, Inf. Control..

[24]  Huibert Kwakernaak,et al.  Linear Optimal Control Systems , 1972 .

[25]  D. Dawson,et al.  On the state observation and output feedback problems for nonlinear uncertain dynamic systems , 1992 .

[26]  Krishna Busawon,et al.  A state observer for nonlinear systems , 1999, IEEE Trans. Autom. Control..

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

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

[29]  D. Bestle,et al.  Canonical form observer design for non-linear time-variable systems , 1983 .

[30]  Sing Kiong Nguang,et al.  Robust stabilization of a class of time-delay nonlinear systems , 2000, IEEE Trans. Autom. Control..

[31]  Zi-Jiang Yang,et al.  Robust position control of a magnetic levitation system via dynamic surface control technique , 2004, IEEE Transactions on Industrial Electronics.