Z
Zexiang Li
Researcher at Hong Kong University of Science and Technology
Publications - 255
Citations - 10164
Zexiang Li is an academic researcher from Hong Kong University of Science and Technology. The author has contributed to research in topics: Parallel manipulator & Motion control. The author has an hindex of 42, co-authored 251 publications receiving 9664 citations. Previous affiliations of Zexiang Li include University of California, Irvine & George Washington University.
Papers
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Proceedings ArticleDOI
Inertia equivalence principle and adaptive control of parallel manipulators with redundant actuation
Guanfeng Liu,Y.K. Yiu,Zexiang Li +2 more
TL;DR: In this article, the inertia equivalence principle is used to expose the relation between the dynamics of the two systems, and the role of redundant action in removing singularities is clarified.
Proceedings ArticleDOI
A methodology for implementing the CPAC approach to path tracking with Six-DOF robotic manipulators
TL;DR: CPAC (Computerized Programmable Automation Controller) approach to design open-architecture IEC61131-3 based RT control system for industrial robotic manipulators and simulation results and experiments results conducted on six-DOF Industrial robotic manipulator were shown to prove CPAC approach has good performance in general.
Proceedings ArticleDOI
Less computational unscented Kalman filter for practical state estimation of small scale unmanned helicopters
TL;DR: This paper presents the unscented Kalman filter (UKF) with reduced simplex sigma-point for the navigation system in a small scale unmanned helicopter and proves the computational load reduction.
Journal ArticleDOI
A geometric theory for formulation and evaluation of form and profile tolerances
J.B. Gou,Y.X. Chu,Zexiang Li +2 more
TL;DR: In this paper, the authors developed a geometric theory which unifies the formulation and computation of form and profile tolerances stipulated in ANSI Y14.5M standard, and showed that the configuration space of a toleranced feature can be identified with the homogeneous space SE (3)/G 0 of the Euclidean group.
Proceedings ArticleDOI
Closed-loop identification for motion control system
TL;DR: In this article, two-stage closed loop identification is introduced to solve the problem of biased estimation for a class of three-loop architecture motion control system, using this method the bridge transfer function is identified firstly so that the control vector can be reconstructed uncorrelated with noise.