Abstract

This paper mainly investigates the projection synchronization of complex chaotic systems with both uncertainty and disturbance. Using the linear feedback method and the uncertainty and disturbance estimation- (UDE-) based control method, the projection synchronization of such systems is realized by two steps. In the first step, a linear feedback controller is designed to control the nominal complex chaotic systems to achieve projection synchronization. An UDE-based controller is proposed to estimate the whole of uncertainty and disturbance in the second step. Finally, numerical simulations verify the feasibility and effectiveness of the control method.

Highlights

  • Using the linear feedback method and the uncertainty and disturbance estimation- (UDE-) based control method, the projection synchronization of such systems is realized by two steps

  • In case of projective synchronization, the master and the slave system can be synchronized up to a scaling factor and the scaling factor is a constant transformation between the driving and the response variables that can further increase the security of secure communication and the transmission speed of communication

  • The UDE-based linear feedback control method is proposed in two steps

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Summary

Preliminary

Where X ∈ Rn is the state, F(X) (F1(X), · · · , Fn(X))T is a continuous Ul∗)T is the vector function, controller to be. Linear Feedback Control-Like Method for Chaos Projection Synchronization. Us, the linear feedback control method is very suitable to be adopted to solve the projective synchronization problem of a given nominal complex chaotic system (i.e., there is no both uncertainty and disturbance). Where Wm, Z, A(Z) are given in equations (4) and (5) and B1 ∈ Rs×r; the linear feedback controller is designed as follows:. Where x ∈ Rn is the state, ud Δf(x) + d(t) is the whole of model uncertainty and external disturbance, b ∈ Rn×k is a constant matrix, k ≥ 1, and u ∈ Rk is the controller to be designed.

Main Results
Illustrative Example with Numerical Simulation
Conclusion
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