Nonlinear unknown input sliding mode observer based chaotic system synchronization and message recovery scheme with uncertainty

Abstract In the present manuscript, observer based synchronization and message recovery scheme is discussed for a system with uncertainties. LMI conditions are analytically derived solution of which gives the observer design matrices. Earlier approaches have used adaptive laws to address the uncertainties, however in present work, decoupling approach is used to make observer robust against uncertainties. The methodology requires upper bounds on nonlinearity and the message signal and estimates for these bounds are generated adaptively. Thus no information about the nature of nonlinearity and associated Lipschitz constant is needed in proposed approach. Message signal is recovered using equivalent output injection which is a low pass filtered equivalent of the discontinuous effort required to maintain the sliding motion. Finally, the efficacy of proposed Nonlinear Unknown Input Sliding Mode Observer (NUISMO) for chaotic communication is verified by conducting simulation studies on two chaotic systems i.e. third order Chua circuit and Rossler system.

[1]  Carroll,et al.  Synchronization in chaotic systems. , 1990, Physical review letters.

[2]  Moez Feki,et al.  Observer-based chaotic synchronization in the presence of unknown inputs , 2003 .

[3]  M. Saif,et al.  Unknown input observer design for a class of nonlinear systems: an LMI approach , 2006, American Control Conference.

[4]  Jian Xu,et al.  The Combination of High-Gain Sliding Mode Observers Used as Receivers in Secure Communication , 2012, IEEE Transactions on Circuits and Systems I: Regular Papers.

[5]  Mao-Yin Chen,et al.  Unknown input observer based chaotic secure communication , 2008 .

[6]  Ashraf A. Zaher,et al.  An improved chaos-based secure communication technique using a novel encryption function with an embedded cipher key , 2009 .

[7]  C. Chee,et al.  Secure digital communication using controlled projective synchronisation of chaos , 2005 .

[8]  Jacques Kengne,et al.  Parameters estimation based adaptive Generalized Projective Synchronization (GPS) of chaotic Chua's circuit with application to chaos communication by parametric modulation , 2014 .

[9]  Fanglai Zhu,et al.  Observer-based synchronization of uncertain chaotic system and its application to secure communications☆ , 2009 .

[10]  Indra Narayan Kar,et al.  Observer-based synchronization scheme for a class of chaotic systems using contraction theory , 2011 .

[11]  Bharat Bhushan Sharma,et al.  Unknown input nonlinear observer design for continuous and discrete time systems with input recovery scheme , 2016 .

[12]  Daolin Xu,et al.  A secure communication scheme using projective chaos synchronization , 2004 .

[13]  Mignon Park,et al.  Synchronization and secure communication of chaotic systems via robust adaptive high-gain fuzzy observer , 2009 .

[14]  Weiping Li,et al.  Applied Nonlinear Control , 1991 .

[15]  Vadim I. Utkin,et al.  Sliding mode control in electromechanical systems , 1999 .

[16]  Yi Xiong,et al.  Unknown disturbance inputs estimation based on a state functional observer design , 2003, Autom..

[17]  Tor Arne Johansen,et al.  On non-linear unknown input observers–applied to lateral vehicle velocity estimation on banked roads , 2007, Int. J. Control.

[18]  Driss Boutat,et al.  Synchronisation of chaotic systems via reduced observers , 2011 .

[19]  Chia-Ju Wu,et al.  Observer-based method for secure communication of chaotic systems , 2000 .

[20]  Vadim I. Utkin,et al.  Sliding Modes in Control and Optimization , 1992, Communications and Control Engineering Series.

[21]  Samuel Bowong,et al.  Unknown inputs' adaptive observer for a class of chaotic systems with uncertainties , 2008, Math. Comput. Model..

[22]  Jie Chen,et al.  Design of unknown input observers and robust fault detection filters , 1996 .

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

[24]  Mohammad Ali Akhaee,et al.  Fast synchronization of non-identical chaotic modulation-based secure systems using a modified sliding mode controller , 2016 .

[25]  I. Kar,et al.  Contraction theory-based recursive design of stabilising controller for a class of non-linear systems , 2010 .

[26]  Sarah K. Spurgeon,et al.  Sliding mode observers for fault detection and isolation , 2000, Autom..

[27]  Martin J. Corless,et al.  State and Input Estimation for a Class of Uncertain Systems , 1998, Autom..

[28]  G. Basile,et al.  On the observability of linear, time-invariant systems with unknown inputs , 1969 .

[29]  Jie Chen,et al.  Robust fault detection of jet engine sensor systems using eigenstructure assignment , 1991 .

[30]  M. Darouach,et al.  Full-order observers for linear systems with unknown inputs , 1994, IEEE Trans. Autom. Control..

[31]  Rafael Martínez-Guerra,et al.  A new reduced-order observer for the synchronization of nonlinear chaotic systems: An application to secure communications. , 2015, Chaos.

[32]  P. Kudva,et al.  Observers for linear systems with unknown inputs , 1980 .

[33]  Mohamed Darouach,et al.  Robust state estimation and unknown inputs reconstruction for a class of nonlinear systems: Multiobjective approach , 2016, Autom..