A Novel Zeroing Neural Model for Solving Dynamic Matrix Moore-Penrose Inverse and Its Application to Visual Servoing Control of Manipulator-Reference-Cited by-同舟云学术

A Novel Zeroing Neural Model for Solving Dynamic Matrix Moore-Penrose Inverse and Its Application to Visual Servoing Control of Manipulator

Published:2024 Issue: Volume:73 Page:1-13
ISSN:0018-9456
Container-title:IEEE Transactions on Instrumentation and Measurement
language:
Short-container-title:IEEE Trans. Instrum. Meas.

Author:

Zhang Bing¹^ORCID,Li Shuai²^ORCID,Chen Xinglong¹^ORCID,Mao Yao¹^ORCID

Affiliation:

1. National Key Laboratory of Optical Field Manipulation Science and Technology, the Key Laboratory of Optical Engineering, Institute of Optics and Electronics, Chinese Academy of Sciences, Chengdu, China

2. Faculty of Information Technology and Electrical Engineering, University of Oulu, Oulu, Finland

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/19/10367905/10426773.pdf?arnumber=10426773

Reference38 articles.

1. Pseudo-inverse Jacobian control with grey relational analysis for robot manipulators mounted on oscillatory bases

2. A fractional perspective on the trajectory control of redundant and hyper-redundant robot manipulators

3. Sensory Fusion of Magnetoinertial Data Based on Kinematic Model With Jacobian Weighted-Left-Pseudoinverse and Kalman-Adaptive Gains

4. Structure Regularized Traffic Monitoring for Traffic Matrix Estimation and Anomaly Detection by Link-Load Measurements

5. Application of Moore-Penrose inverse in deciding the minimal martingale measure

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