X
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
More filters
Journal ArticleDOI
Adaptive control of system involving complex hysteretic nonlinearities: a generalised Prandtl–Ishlinskii modelling approach
TL;DR: An adaptive control approach is proposed for a class of nonlinear systems preceded by unknown hysteretic nonlinearities, which is described by a generalised Prandtl–Ishlinskii (P-I) model, which guarantees the global stability of the system and tracking a desired trajectory to a certain precision.
Journal ArticleDOI
A Comprehensive Dynamic Model for Magnetostrictive Actuators Considering Different Input Frequencies With Mechanical Loads
TL;DR: A comprehensive model, which thoroughly considers the electric, magnetic, and mechanical domain, as well as the interactions among them, is developed and demonstrates that the comprehensive model presents an excellent agreement with dynamic behaviors of the magnetostrictive actuator.
Proceedings ArticleDOI
Analysis and Design of H ∞ Feedback Control Systems with Two Quantized Signals
TL;DR: For quantized feedback control systems with two quantized signals, a state-dependent strategy for updating the quantizers' parameters is proposed so that the system is asymptotically stable and achieves the same Hinfin disturbance attenuation level.
Journal ArticleDOI
Adaptive Pseudo Inverse Control for a Class of Nonlinear Asymmetric and Saturated Nonlinear Hysteretic Systems
TL;DR: This paper aims at eliminating the asymmetric and saturated hysteresis nonlinearities by designing hysteResis pseudo inverse compensator and robust adaptive dynamic surface control (DSC) scheme.
Journal ArticleDOI
Adaptive Implicit Inverse Control for a Class of Discrete-Time Hysteretic Nonlinear Systems and Its Application
TL;DR: It is proved that all the signals in the closed-loop system are semiglobally uniformly ultimately bounded and the experimental results show the effectiveness of the proposed adaptive dynamic surface discrete-time motion control (ADSDMC) scheme.