State Observer Synchronization Used in the Three-Dimensional Duffing System

Synchronization of chaotic systems has attracted extensive concern in the past few years. In this study, we investigate a new structure of Duffing system by the variable decomposition method. Then, we analyze the state observer synchronization based on the new Duffing system. It is proved theoretically that the designed observer can keep synchronization with Duffing chaotic system in transmitter. The design is presented reasonably with the conditional Lyapunov exponents, and its effectiveness is clearly shown in simulation results.

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

[2]  Parlitz,et al.  Synchronization-based parameter estimation from time series. , 1996, Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics.

[3]  Parlitz,et al.  Estimating model parameters from time series by autosynchronization. , 1996, Physical review letters.

[4]  India,et al.  Use of synchronization and adaptive control in parameter estimation from a time series , 1998, chao-dyn/9804005.

[5]  Amritkar,et al.  Dynamic algorithm for parameter estimation and its applications , 2000, Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics.

[6]  Jinhu Lu,et al.  Parameters identification and synchronization of chaotic systems based upon adaptive control , 2002 .

[7]  Jack J Jiang,et al.  Estimating model parameters by chaos synchronization. , 2004, Physical review. E, Statistical, nonlinear, and soft matter physics.

[8]  Debin Huang Synchronization-based estimation of all parameters of chaotic systems from time series. , 2004, Physical review. E, Statistical, nonlinear, and soft matter physics.

[9]  Xiaofeng Liao,et al.  Impulsive synchronization of nonlinear coupled chaotic systems , 2004 .

[10]  Gérard Bloch,et al.  Considering the attractor structure of chaotic maps for observer-based synchronization problems , 2005, Math. Comput. Simul..

[11]  Debin Huang Adaptive-feedback control algorithm. , 2006, Physical review. E, Statistical, nonlinear, and soft matter physics.

[12]  G. Besançon,et al.  On adaptive observers for state affine systems , 2006 .

[13]  Hassan Salarieh,et al.  Adaptive chaos synchronization in Chua's systems with noisy parameters , 2008, Math. Comput. Simul..

[14]  Bijan Ranjbar Sahraei,et al.  Adaptive sliding mode control in a novel class of chaotic systems , 2010 .

[15]  Ping Zhang,et al.  A comparison study of basic data-driven fault diagnosis and process monitoring methods on the benchmark Tennessee Eastman process , 2012 .

[16]  Marat Akhmet,et al.  Chaotic period-doubling and OGY control for the forced Duffing equation , 2012 .

[17]  Hamid Reza Karimi,et al.  Data-driven adaptive observer for fault diagnosis , 2012 .

[18]  Steven X. Ding,et al.  Data-driven monitoring for stochastic systems and its application on batch process , 2013, Int. J. Syst. Sci..

[19]  Jingli Ren,et al.  Harmonic and subharmonic solutions for superlinear damped Duffing equation , 2013 .

[20]  Steven X. Ding,et al.  Real-Time Implementation of Fault-Tolerant Control Systems With Performance Optimization , 2014, IEEE Transactions on Industrial Electronics.

[21]  Hamid Reza Karimi,et al.  Data-driven design of robust fault detection system for wind turbines , 2014 .

[22]  Mauricio Zapateiro,et al.  A secure communication scheme based on chaotic Duffing oscillators and frequency estimation for the transmission of binary-coded messages , 2014, Commun. Nonlinear Sci. Numer. Simul..

[23]  S. Billings,et al.  A frequency domain analysis of the effects of nonlinear damping on the Duffing equation , 2014 .