T
Ti-Chung Lee
Researcher at Minghsin University of Science and Technology
Publications - 49
Citations - 1265
Ti-Chung Lee is an academic researcher from Minghsin University of Science and Technology. The author has contributed to research in topics: Exponential stability & Nonlinear system. The author has an hindex of 16, co-authored 49 publications receiving 1174 citations. Previous affiliations of Ti-Chung Lee include National Tsing Hua University.
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Tracking control of unicycle-modeled mobile robots using a saturation feedback controller
TL;DR: The tracking control problem with saturation constraint for a class of unicycle-modeled mobile robots is formulated and solved using the backstepping technique and the idea from the LaSalle's invariance principle, and computer simulations confirm the effectiveness of the proposed tracking control law.
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Uniform Asymptotic Stability of Nonlinear Switched Systems With an Application to Mobile Robots
Ti-Chung Lee,Zhong-Ping Jiang +1 more
TL;DR: A novel switching controller is proposed with guaranteed robustness to orientation error and unknown parameters in mobile robots and a generalized version of Krasovskii-LaSalle theorem in time-varying switched systems is proposed.
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Reliable control of nonlinear systems
TL;DR: This paper extends Veillette's results (1995) to the study of reliable linear-quadratic regulator problem for nonlinear systems by employing the Hamilton-Jacobi inequality in the nonlinear case instead of algebraic Riccati equation in the linear one.
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A generalization of Krasovskii-LaSalle theorem for nonlinear time-varying systems: converse results and applications
Ti-Chung Lee,Zhong-Ping Jiang +1 more
TL;DR: A practically applicable characterization of uniform (global) asymptotic stability (UAS and UGAS) for general nonlinear time-varying systems, under certain output-dependent conditions in the spirit of the Krasovskii-LaSalle theorem is presented.
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Fast parking control of mobile robots: a motion planning approach with experimental validation
TL;DR: A new global tracking controller is first proposed to achieve global uniformly asymptotic stability and local exponential convergence, then transformed into a tracking one by adding a redesigned virtual trajectory to the original trajectory, thus guaranteeing practical stability with exponential convergence.