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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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Adaptive control-based Barrier Lyapunov Functions for a class of stochastic nonlinear systems with full state constraints
TL;DR: It is proved that all the signals in the closed-loop system are semi-global uniformly ultimately bounded (SGUUB) in probability, the system output is driven to follow the reference signals, and all the states are ensured to remain in the predefined compact sets.
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Adaptive variable structure control of a class of nonlinear systems with unknown Prandtl-Ishlinskii hysteresis
TL;DR: The purpose of the note is to show such a possibility by using the Prandtl-Ishlinskii (PI) hysteresis model to fuse available robust control techniques to have the basic requirement of stability of the system.
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Design of a nonlinear disturbance observer
TL;DR: This paper presents a new disturbance observer based on the variable structure system theory for minimum-phase (with respect to the relationship between the disturbance and output) dynamical systems with arbitrary relative degrees.
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Adaptive Sliding-Mode Position Control for Piezo-Actuated Stage
Xinkai Chen,Takeshi Hisayama +1 more
TL;DR: The proposed control law ensures the global stability of the controlled piezo-actuated stage, and the position error can be controlled to be as small as required by choosing the design parameters.
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Adaptive Estimated Inverse Output-Feedback Quantized Control for Piezoelectric Positioning Stage
TL;DR: The quantized issue due to the use of computer is addressed by introducing a linear time-varying quantizer model where the quantizer parameters can be estimated on-line and the fuzzy approximator is used to avoid the identification of the parameters in the piezoelectric positioning stage.