scispace - formally typeset
Y

Yongchun Xie

Researcher at Harbin Engineering University

Publications -  36
Citations -  426

Yongchun Xie is an academic researcher from Harbin Engineering University. The author has contributed to research in topics: Adaptive control & Control theory. The author has an hindex of 13, co-authored 31 publications receiving 355 citations. Previous affiliations of Yongchun Xie include China Academy of Space Technology.

Papers
More filters
Journal ArticleDOI

Prediction Error Based Adaptive Jacobian Tracking for Free-Floating Space Manipulators

TL;DR: A prediction error based adaptive Jacobian controller, which includes a modified task-space computed torque controller and two modified least-squares estimators is proposed, which can work without requiring measurement of the spacecraft angular acceleration.
Journal ArticleDOI

Flocking of networked mechanical systems on directed topologies: a new perspective

TL;DR: This paper proposes an integral-sliding adaptive control to realise the objective of flocking, and proposes a new notion – iBIBO (integral-bounded-input bounded-output) stability to characterise a new input–output property of a special class of dynamical systems, which is then used for the stability analysis of the closed-loop system.
Journal ArticleDOI

Adaptive Jacobian position/force tracking control of free-flying manipulators

TL;DR: The convergence of the force and position tracking errors is proved based on Lyapunov stability analysis and an adaptive Jacobian controller is devised to cope with the uncertainties arising from free-flyer's kinematics, dynamics and surface stiffness and position.
Journal ArticleDOI

Passive Separation Approach to Adaptive Visual Tracking for Robotic Systems

TL;DR: This brief investigates how passivity and nonlinear feedback are used to realize the objective of separation for visual tracking of robotic systems with parametric uncertainty and with time-varying depth, in the case of no image-space velocity measurement.
Journal ArticleDOI

Dynamic Modularity Approach to Adaptive Control of Robotic Systems With Closed Architecture

TL;DR: A dynamic modularity approach is proposed to resolve the adaptive control of robotic systems with an inner/outer loop structure, and a class of adaptive outer loop control schemes is proposed and their role is to dynamically generate the joint velocity command for the low-level joint servoing loop.