Consensus for Multiple Random Mechanical Systems With Applications on Robot Manipulator-Reference-Cited by-同舟云学术

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Consensus for Multiple Random Mechanical Systems With Applications on Robot Manipulator

Published:2024-01 Issue:1 Volume:71 Page:846-856
ISSN:0278-0046
Container-title:IEEE Transactions on Industrial Electronics
language:
Short-container-title:IEEE Trans. Ind. Electron.

Author:

Jian Haitao¹,Zheng Shiqi¹^ORCID,Shi Peng²^ORCID,Xie Yuanlong³^ORCID,Li Hu³^ORCID

Affiliation:

1. School of Automation, China University of Geosciences, Wuhan, China

2. School of Electrical and Electronic Engineering, The University of Adelaide, Adelaide, SA, Australia

3. School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan, China

Funder

National Natural Science Foundation of China

Open Research Project of Zhejiang Lab

Higher Education Discipline Innovation Project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/41/10184152/10043816.pdf?arnumber=10043816

Reference36 articles.

1. A Hybrid Switching Control Approach to Consensus of Multiagent Systems

2. Adaptive neural network control for robotic manipulators with guaranteed finite-time convergence

3. Leader–Following Consensus of Multiple Uncertain Euler–Lagrange Systems With Unknown Dynamic Leader

4. Adaptive neural network predictive control for nonlinear pure feedback systems with input delay

5. Modeling and adaptive tracking for a class of stochastic Lagrangian control systems

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2. Safety-Critical Containment Control for Multi-Agent Systems With Communication Delays;IEEE Transactions on Network Science and Engineering;2024-09

3. Indirect adaptive observer control (I-AOC) design for truck–trailer model based on T–S fuzzy system with unknown nonlinear function;Complex & Intelligent Systems;2024-07-12

4. Event-triggered stochastic finite-time tracking control of robot manipulator with uncertain disturbance neural network estimation;Nonlinear Dynamics;2024-06-29

5. Practical time-varying formation-containment tracking for nonlinear multi-agent systems with general noise;Journal of the Franklin Institute;2024-05

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