T
Tai-Yu Wang
Researcher at National Chung Hsing University
Publications - 7
Citations - 63
Tai-Yu Wang is an academic researcher from National Chung Hsing University. The author has contributed to research in topics: Mobile robot & Control theory. The author has an hindex of 4, co-authored 7 publications receiving 62 citations.
Papers
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Proceedings ArticleDOI
Adaptive trajectory tracking control of a wheeled mobile robot via Lyapunov techniques
Tai-Yu Wang,Ching-Chih Tsai +1 more
TL;DR: This paper develops the control methodologies under the specific assumption of the data source environments, for trajectory tracking of a wheeled mobile robot with vision data, and presents an adaptive nonlinear trajectory tracking control law to ensure asymptotic trajectory tracking for the vehicle.
Journal ArticleDOI
Stochastic model reference predictive temperature control with integral action for an industrial oil-cooling process
TL;DR: A real-time adaptive SMRPC algorithm is proposed and then implemented into a stand-alone digital signal processor (DSP).
Journal ArticleDOI
Simultaneous tracking and stabilization of an omnidirectional mobile robot in polar coordinates
TL;DR: Experimental results are presented to show the efficacy and usefulness of the proposed control methods to achieve both trajectory tracking and stabilization for an omnidirectional wheeled mobile robot.
Journal ArticleDOI
Two degree‐of‐freedom control for constant continuous positive airway pressure of an obstructive sleep apnea treatment system
TL;DR: In this paper, a two degree-of-freedom control method for achieving constant continuous positive airway pressure (CPAP) of an obstructive sleep apnea (OSA) treatment system is presented.
Journal ArticleDOI
Nonlinear regulation and path tracking of a wheeled mobile robot in polar coordinates
TL;DR: A novel path tracking control method is proposed to achieve reference path following missions on a global scale except for an arbitrary small region around the origin; in particular, two special path tracking examples are analyzed with large initial tracking errors.