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Bing Li

Researcher at Harbin Institute of Technology

Publications -  275
Citations -  2580

Bing Li is an academic researcher from Harbin Institute of Technology. The author has contributed to research in topics: Kinematics & Parallel manipulator. The author has an hindex of 22, co-authored 242 publications receiving 1778 citations. Previous affiliations of Bing Li include Hong Kong Polytechnic University & Xi'an Jiaotong University.

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Distributed Containment Control for Multiple Unknown Second-Order Nonlinear Systems With Application to Networked Lagrangian Systems

TL;DR: This paper first study the distributed containment control problem for multiple second-order nonlinear systems with multiple dynamic leaders in the presence of unknown nonlinearities and external disturbances under a general directed graph that characterizes the interaction among the leaders and the followers.
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Dynamic multi-attribute decision making model based on triangular intuitionistic fuzzy numbers

TL;DR: A new distance measure between two TIFNs is developed to aid in determining attribute weights, using the entropy method, and the effectiveness and applicability of the proposed DMADM model, as well as analysis of comparison with another model are illustrated.
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A universal on-orbit servicing system used in the geostationary orbit

TL;DR: A universal space robotic servicing system that can serve most existing satellites in GEO, not requiring specially designed objects for grappling and measuring on the target, and developed key pose (position and orientation) measurement and control algorithm.
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A large ring deployable mechanism for space satellite antenna

TL;DR: In this article, a single mobility deployable ring mechanism based on a set of planar six-bar linkages is proposed, which is suitable for building large scale satellite deployable antenna.
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Singularity Analysis and Avoidance for Robot Manipulators With Nonspherical Wrists

TL;DR: For a class of nonspherical-wrist manipulators, i.e., redundant or nonredundant, unified singularity analysis and computation-effective avoidance methods are proposed and theoretical analysis shows that the computation costs of the reduced-order approaches are only 1/3–1/2 of the traditional methods.