Sampled-data control of locally Lipschitz systems

Sampled-data control problem of locally Lipschitz systems is investigated. The stability of the discrete-time systems family in which the sampling period is a parameter is analyzed. The sufficient conditions and necessary conditions of semi-globally exponential stability are given. Based on these conditions the sufficient conditions that guarantee semi-globally exponential stability of the closed-loop sampled-data systems are presented respectively for the general approximation and the Euler approximation. With these results it is pointed out that some examples which were regarded as practically stable are exponential stable.

[1]  P. Kokotovic,et al.  Sufficient conditions for stabilization of sampled-data nonlinear systems via discrete-time approximations , 1999 .

[2]  Dragan Nesic,et al.  A framework for stabilization of nonlinear sampled-data systems based on their approximate discrete-time models , 2004, IEEE Transactions on Automatic Control.

[3]  D. Nesic,et al.  Stabilization of sampled-data nonlinear systems via their approximate models: an optimization based approach , 2002, Proceedings of the 41st IEEE Conference on Decision and Control, 2002..

[4]  Bruce A. Francis,et al.  Optimal Sampled-Data Control Systems , 1996, Communications and Control Engineering Series.

[5]  William W. Hager,et al.  The Euler approximation in state constrained optimal control , 2001, Math. Comput..

[6]  Alessandro Astolfi,et al.  Sampled-Data Control of Nonlinear Systems , 2006 .

[7]  P. Lu Approximate nonlinear receding-horizon control laws in closed form , 1998 .

[8]  A. R. Teelb,et al.  Formulas relating KL stability estimates of discrete-time and sampled-data nonlinear systems , 1999 .

[9]  Éva Gyurkovics,et al.  Stabilization of sampled-data nonlinear systems by receding horizon control via discrete-time approximations , 2003, Autom..

[10]  Salvatore Monaco,et al.  Nonlinear port controlled Hamiltonian systems under sampling , 2009, Proceedings of the 48h IEEE Conference on Decision and Control (CDC) held jointly with 2009 28th Chinese Control Conference.

[11]  Robin J. Evans,et al.  Controlling nonlinear time-varying systems via euler approximations , 1992, Autom..

[12]  Romain Postoyan,et al.  Robust backstepping for the Euler approximate model of sampled-data strict-feedback systems , 2009, Autom..

[13]  Dragan Nesic,et al.  A framework for nonlinear sampled-data observer design via approximate discrete-time models and emulation , 2004, Autom..

[14]  Ji-Feng Zhang,et al.  Optimality analysis of adaptive sampled control of hybrid systems with quadratic index , 2005, IEEE Trans. Autom. Control..

[15]  Denis Dochain,et al.  Adaptive identification and control algorithms for nonlinear bacterial growth systems , 1984, Autom..

[16]  Dragan Nesic,et al.  Stabilization of sampled-data nonlinear systems via backstepping on their Euler approximate model , 2006, Autom..