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  1. An Integral Sliding Mode Control of Uncertain Chaotic Systems via Disturbance Observer.Hua Zhang - 2021 - Complexity 2021:1-11.
    This paper proposes an integral sliding mode control method of a class of uncertain chaotic systems with saturation inputs. Firstly, fuzzy logic system is used to estimate the unknown nonlinear function. Then, a disturbance observer is constructed to estimate a compound disturbance, which contains the external disturbance, the error of saturation input and control output, and the fuzzy estimation error. Subsequently, a proposed integral sliding mode controller can ensure that all signals of the closed-loop system are ultimately bounded, and based (...)
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  • Adaptive cluster synchronization in directed networks with nonidentical nonlinear dynamics.Yi Wang, Zhongjun Ma, Jinde Cao, Ahmed Alsaedi & Fuad E. Alsaadi - 2016 - Complexity 21 (S2):380-387.
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  • Sampled-data reliable stabilization of T-S fuzzy systems and its application.Rathinasamy Sakthivel, Kaviarasan Boomipalagan, M. A. Yong-Ki & Malik Muslim - 2016 - Complexity 21 (S2):518-529.
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  • Function vector synchronization based on fuzzy control for uncertain chaotic systems with dead-zone nonlinearities.Sarah Hamel, Abdesselem Boulkroune & Amel Bouzeriba - 2016 - Complexity 21 (S1):234-249.
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  • Adaptive fuzzy backstepping control for a class of MIMO switched nonlinear systems with unknown control directions.Yingxue Hou & Shaocheng Tong - 2016 - Complexity 21 (6):155-166.
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  • Master-slave synchronization criteria for chaotic hindmarsh-rose neurons using linear feedback control.Ke Ding & Qing-Long Han - 2016 - Complexity 21 (5):319-327.
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