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Xikui Ma
Researcher at Xi'an Jiaotong University
Publications - 163
Citations - 1968
Xikui Ma is an academic researcher from Xi'an Jiaotong University. The author has contributed to research in topics: Buck converter & Perfectly matched layer. The author has an hindex of 21, co-authored 125 publications receiving 1652 citations. Previous affiliations of Xikui Ma include Chongqing University & Tsinghua University.
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Oscillatory Stability and Eigenvalue Sensitivity Analysis of A DFIG Wind Turbine System
TL;DR: In this article, a detailed mathematical model of a doubly fed induction generator (DFIG) with vector-control loops is developed, based on which the loci of the system Jacobian's eigenvalues have been analyzed, showing that, without appropriate controller tuning, a Hopf bifurcation can occur in such a system due to various factors, such as wind speed.
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A New Transformerless Buck–Boost Converter With Positive Output Voltage
Shan Miao,Faqiang Wang,Xikui Ma +2 more
TL;DR: A new transformerless buck-boost converter with simple structure is proposed in this study and its voltage gain is squared times of the former's and its output voltage polarity is positive to enable it to work in a wider range of positive output.
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Synchronization of chaotic systems with parametric uncertainty using active sliding mode control
TL;DR: An active sliding mode control method for synchronizing two chaotic systems with parametric uncertainty is presented, and a sufficient condition is drawn for the robust stability of the error dynamics and is applied to guiding the design of the controllers.
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Synchronization of uncertain chaotic systems with parameters perturbation via active control
Hao Zhang,Xikui Ma +1 more
TL;DR: An active control method for Synchronizing two uncertain chaotic systems with parameters perturbation is presented and generalizes it to general uncertain chaos systems and a sufficient condition is drawn for the stability of the error dynamics.
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Controlling and tracking hyperchaotic Rössler system via active backstepping design
TL;DR: A novel active backstepping control approach for controlling hyperchaotic Rossler system to a steady state as well as tracking of any desire trajectory to be achieved in a systematic way is presented.