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  1. Homeomorphism Mapping Based Neural Networks for Finite Time Constraint Control of a Class of Nonaffine Pure-Feedback Nonlinear Systems.Jianhua Zhang, Quanmin Zhu, Yang Li & Xueli Wu - 2019 - Complexity 2019:1-11.
    In this study, an accurate convergence time of the supertwisting algorithm is proposed to build up a framework for nonaffine nonlinear systems’ finite-time control. The convergence time of the STA is provided by calculating the solution of a differential equation instead of constructing Lyapunov function. Therefore, precise convergence time is presented instead of estimation of the upper bound of the algorithm’s reaching time. Regardless of affine or nonaffine nonlinear systems, supertwisting control provides a general solution based on virtual control law (...)
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  • Finite-time stability of fractional-order stochastic singular systems with time delay and white noise.Kalidass Mathiyalagan & Krishnan Balachandran - 2016 - Complexity 21 (S2):370-379.
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  • Terminal sliding mode control without singular for a class of uncertain system.Guowei Xu, Qiuhong Liu & Liankun Sun - 2016 - Complexity 21 (S1):566-572.
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  • Synchronization of fractional-order delayed neural networks with hybrid coupling.Haibo Bao, Ju H. Park & Jinde Cao - 2016 - Complexity 21 (S1):106-112.
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  • Chaos synchronization of a fractional-order modified Van der Pol-Duffing system via new linear control, backstepping control and Takagi-Sugeno fuzzy approaches.Ahmed Ezzat Matouk - 2016 - Complexity 21 (S1):116-124.
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  • Dynamics, Chaos Control, and Synchronization in a Fractional-Order Samardzija-Greller Population System with Order Lying in.A. Al-Khedhairi, S. S. Askar, A. E. Matouk, A. Elsadany & M. Ghazel - 2018 - Complexity 2018:1-14.
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