Nonlinear observer design for synchronization and information recovery in communication systems using contraction theory

This paper proposes new LMI conditions for state and input recovery of a particular class of nonlinear systems. The convergence approach is presented under the original framework of the contraction theory and the conditions are derived thanks to the differential mean value theorem. This method is more general and more easily implementable than an original method, presented in [1], for the same class of systems. It is applied with success on two numerical examples of chaotic systems with unknown input, used for information encryption and decryption. Experimental results, based on a basic communication setup, are also included.

[1]  Leon O. Chua,et al.  Experimental Demonstration of Secure Communications via Chaotic Synchronization , 1992, Chua's Circuit.

[2]  Alan V. Oppenheim,et al.  Synchronization of Lorenz-based chaotic circuits with applications to communications , 1993 .

[3]  Morgül,et al.  Observer based synchronization of chaotic systems. , 1996, Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics.

[4]  Ned J. Corron,et al.  A new approach to communications using chaotic signals , 1997 .

[5]  Henk Nijmeijer,et al.  An observer looks at synchronization , 1997 .

[6]  Michael Peter Kennedy,et al.  The role of synchronization in digital communications using chaos. I . Fundamentals of digital communications , 1997 .

[7]  Leon O. Chua,et al.  Cryptography based on chaotic systems , 1997 .

[8]  Jean-Jacques E. Slotine,et al.  On Contraction Analysis for Non-linear Systems , 1998, Autom..

[9]  Michael Peter Kennedy,et al.  The role of synchronization in digital communications using chaos. II. Chaotic modulation and chaotic synchronization , 1998 .

[10]  H. Nijmeijer,et al.  New directions in nonlinear observer design , 1999 .

[11]  Teh-Lu Liao,et al.  An observer-based approach for chaotic synchronization with applications to secure communications , 1999 .

[12]  Winfried Stefan Lohmiller,et al.  Contraction analysis of nonlinear systems , 1999 .

[13]  Saverio Mascolo,et al.  Synchronizing Hyperchaotic Systems by Observer Design , 1999 .

[14]  Kuang-Yow Lian,et al.  Synchronization with message embedded for generalized Lorenz chaotic circuits and its error analysis , 2000 .

[15]  Mohamed I. Sobhy,et al.  Secure Computer Communication using Chaotic Algorithms , 2000, Int. J. Bifurc. Chaos.

[16]  H. Agiza,et al.  Synchronization of Rossler and Chen chaotic dynamical systems using active control , 2001, Physics Letters A.

[17]  Xiaofan Wang,et al.  Generating chaos in Chua's circuit via time-delay feedback , 2001 .

[18]  M. Boutayeb,et al.  Generalized state-space observers for chaotic synchronization and secure communication , 2002 .

[19]  Zhong-Ping Jiang,et al.  A note on chaotic secure communication systems , 2002 .

[20]  Jia-Ming Liu,et al.  Message encoding and decoding through chaos modulation in chaotic optical communications , 2002 .

[21]  M. Feki Observer-based exact synchronization of ideal and mismatched chaotic systems , 2003 .

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

[23]  Jean-Jacques E. Slotine,et al.  Methodological remarks on contraction theory , 2004, 2004 43rd IEEE Conference on Decision and Control (CDC) (IEEE Cat. No.04CH37601).

[24]  Tao Yang,et al.  A SURVEY OF CHAOTIC SECURE COMMUNICATION SYSTEMS , 2004 .

[25]  M. Boutayeb,et al.  Observer-based approach for synchronization of modified chua's circuit , 2004 .

[26]  Chuandong Li,et al.  Chaotic lag synchronization of coupled time-delayed systems and its applications in secure communication , 2004 .

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

[28]  Jean-Jacques E. Slotine,et al.  On partial contraction analysis for coupled nonlinear oscillators , 2004, Biological Cybernetics.

[29]  Bing-Hong Wang,et al.  Improving the security of chaotic encryption by using a simple modulating method , 2004 .

[30]  Guanrong Chen,et al.  Secure synchronization of a class of chaotic systems from a nonlinear observer approach , 2005, IEEE Transactions on Automatic Control.

[31]  A. Zemouche,et al.  Observer Design for Nonlinear Systems: An Approach Based on the Differential Mean Value Theorem. , 2005, Proceedings of the 44th IEEE Conference on Decision and Control.