2017
DOI: 10.1002/cta.2353
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Control and synchronization of the generalized Lorenz system with mismatched uncertainties using backstepping technique and time‐delay estimation

Abstract: Summary We propose a robust control technique for regulation and synchronization of the generalized Lorenz system (GLS) that covers the Lorenz system, Chen system and Lü system. The proposed control provides synergy through the combination of the backstepping control and time‐delay estimation (TDE) technique. TDE is used to estimate and cancel nonlinearities and uncertainties while the backstepping method is adopted to provide robustness against matched and mismatched uncertainties. As a result, we observe in … Show more

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Cited by 9 publications
(5 citation statements)
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References 44 publications
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“…Many scholars pay close attention to it and get a variety of positive achievements. Kim et al put forward a robust control approach to regulate and synchronize the generalized Lorenz system based on the backstepping method, while the nonlinear and uncertain items can be estimated and canceled [3]. By using the Lyapunov function and Barbalat's lemma, Liu et al consider the problem of synchronization and antisynchronization in the Lorenz system and apply the result to secure communication with uncertain parameters [4].…”
Section: Introductionmentioning
confidence: 99%
“…Many scholars pay close attention to it and get a variety of positive achievements. Kim et al put forward a robust control approach to regulate and synchronize the generalized Lorenz system based on the backstepping method, while the nonlinear and uncertain items can be estimated and canceled [3]. By using the Lyapunov function and Barbalat's lemma, Liu et al consider the problem of synchronization and antisynchronization in the Lorenz system and apply the result to secure communication with uncertain parameters [4].…”
Section: Introductionmentioning
confidence: 99%
“…Additionally, a memristive circuit is propitious to generate chaotic signal for the intrinsic nonlinearity and plasticity properties [11][12][13]. Different from the conventional nonlinear systems, the most significant feature of the memristor-based nonlinear system is that the long-term dynamical behaviors extremely rely on the initial state of the memristor, which leads to the emergence of multistability or coexisting many attractors [14,15]. The phenomenon of multistability has attracted a lot of research enthusiasm recently.…”
Section: Introductionmentioning
confidence: 99%
“…The phenomenon of multistability has attracted a lot of research enthusiasm recently. In many cases, the multistability exists in dynamical systems with stable equilibrium, no-equilibrium, or a line of equilibrium, in which one cannot use the Shilnikov method to explain the chaos [14][15][16][17][18].…”
Section: Introductionmentioning
confidence: 99%
“…As an active topic, chaos has been extensively and continuously investigated in classical [1][2][3][4][5][6][7] and quantum fields [8,9] over the last half-century. The study on chaos has well served to promote the exploration of dynamical behaviour, intrinsic structure of the natural system and the design of the new chaotic system, as well as chaos-based application.…”
Section: Introductionmentioning
confidence: 99%
“…(a). Projection of the attractor for system(1) and (b) projection of the four-wing attractor for system (6) onto the plane (x 2 , x 3 ), with the parameter set S 1 and for the initial condition x(0) = (0.01, 0.01, 0.05).…”
mentioning
confidence: 99%