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Xinkai Chen
Researcher at Shibaura Institute of Technology
Publications - 218
Citations - 3757
Xinkai Chen is an academic researcher from Shibaura Institute of Technology. The author has contributed to research in topics: Adaptive control & Control theory. The author has an hindex of 26, co-authored 201 publications receiving 3057 citations. Previous affiliations of Xinkai Chen include Electric Power University & Wakayama University.
Papers
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A nonlinear disturbance observer for multivariable systems and its application to magnetic bearing systems
TL;DR: A new nonlinear-disturbance observer for multivariable minimum-phase systems with arbitrary relative degrees that is inspired by the variable structure-control method and adaptive algorithms and is robust to the types of disturbances.
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A new state observer for perspective systems
Xinkai Chen,Hiroyuki Kano +1 more
TL;DR: A new discontinuous state observer, which is motivated by the sliding mode control method and adaptive techniques, is proposed for the obtained dynamical system and results show the superiority of the new method to the traditional ones.
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Adaptive sliding mode control for discrete-time multi-input multi-output systems
TL;DR: Robust adaptive sliding mode tracking control for discrete-time multi-input multi-output systems with unknown parameters and disturbance is considered and can be approximately achieved.
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Adaptive Control for the Systems Preceded by Hysteresis
TL;DR: The adaptive control for discrete time linear dynamical systems preceded with hysteresis described by the Prandtl-Ishlinskii model is discussed, which ensures the global stability of the closed-loop system, and the output tracking error can be controlled to be as small as required by choosing the design parameters.
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Decentralized Adaptive Neural Approximated Inverse Control for a Class of Large-Scale Nonlinear Hysteretic Systems With Time Delays
TL;DR: A decentralized neural adaptive dynamic surface approximated inverse control (DNADSAIC) scheme for a class of large-scale time-delay systems with hysteresis nonlinearities as input and the analysis of stabilities guarantees all the signals of the closed-loop systems are semiglobally uniformly ultimately bounded.