2020
DOI: 10.1155/2020/5391984
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State Synchronization for a Class of n-Dimensional Nonlinear Systems with Sector Input Nonlinearity via Adaptive Two-Stage Sliding Mode Control

Abstract: This study addresses an adaptive two-stage sliding mode control (SMC) scheme for the state synchronization between two identical systems, which belong to a kind of n-dimensional chaotic system, by considering the appearance of lumped system uncertainties and external disturbances. The controlled system is assumed to be attached to sector nonlinearity for the control input. The proposed adaptive control scheme involves time-variable state-feedback gains, which are updated in a… Show more

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Cited by 2 publications
(5 citation statements)
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“…Theorem 1. Consider the uncertain error dynamics (3) with bounded input uncertainty, the system trajectory controlled by the SMC controller (17) can asymptotically converge to the sliding manifold S(t) = 0.…”
Section: V(t) = S T (T)mentioning
confidence: 99%
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“…Theorem 1. Consider the uncertain error dynamics (3) with bounded input uncertainty, the system trajectory controlled by the SMC controller (17) can asymptotically converge to the sliding manifold S(t) = 0.…”
Section: V(t) = S T (T)mentioning
confidence: 99%
“…From the theoretical point of view, the discontinuous sign function in control input (17) may cause chattering. To reduce the chattering resulted from the discontinuous sign function, we can introduce the continuous saturation function described by…”
Section: Remarkmentioning
confidence: 99%
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“…Wang and Liu [38] researched the sliding mode control of the master-slave chaotic systems with sector nonlinear input. Yang et al [39] addressed an adaptive two-stage sliding mode control to realize the synchronization for a class of n -dimensional nonlinear systems with sector nonlinearity input. Although the researches on sector nonlinear input have achieved certain results, most existing studies mainly focus on a single system rather than complex networks.…”
Section: Introductionmentioning
confidence: 99%