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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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  • Sum of Squares Approach for Nonlinear H∞ Control.Ai-Ping Pang, Zhen He, Ming-han Zhao, Guang-Xiong Wang, Qin-mu Wu & Ze-tao Li - 2018 - Complexity 2018:1-7.
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  • Design of LMI-based global sliding mode controller for uncertain nonlinear systems with application to Genesio's chaotic system.Saleh Mobayen - 2016 - Complexity 21 (1):94-98.
    The fault ride-through capability and fault current issues are the main challenges in doubly fed induction generator- based wind turbines. Application of the bridge-type fault current limiter was recognized as a promising solution to cope with these challenges. This paper proposes a nonlinear sliding mode controller for the BFCL to enhance the FRT performance of the DFIG-based WT. This controller has robust performance in unpredicted voltage sag level and nonlinear features. Theoretical discussions, power circuit, and nonlinear control consideration of the (...)
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  • Valve-Pump Parallel Variable Mode Control for Complex Speed Regulation Processes.Haigang Ding, Henan Song, Jiyun Zhao & Chaowen Lin - 2018 - Complexity 2018:1-9.
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