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Non-fragile consensus control of networked robotic manipulators with topology-dependent memory

Chao Ma (School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing, China)
Rui Li (The State Key Lab of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China)
Hong Qiao (Institute of Automation, Chinese Academy of Sciences, The State Key Laboratory of Management and Control for Complex Systems, Beijing, China, and Institute of Neuroscience, Centre for Excellence in Brain Science and Intelligence Technology, Shanghai, China)

Assembly Automation

ISSN: 0144-5154

Article publication date: 5 October 2018

Issue publication date: 6 December 2018

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Abstract

Purpose

The purpose of this paper is to solve the non-fragile consensus problem of networked robotic manipulators over communication networks by using information from topology-dependent memory.

Design/methodology/approach

This paper proposes a topology-dependent memory protocol with distributed consensus controllers for multiple networked robotic manipulators.

Findings

The distributed controller gain fluctuations are taken into account with sampled data information exchanges. By the derived results of model transformation, the topology-dependent memory protocol is investigated using sufficient consensus criteria in the form of linear matrix inequalities.

Originality/value

A novel consensus protocol with topology-dependent memory is designed, which can potentially improve consensus performance and deal with the controller gain fluctuations of the robotic manipulators in practical applications.

Keywords

Acknowledgements

Funding: This work was supported by the National Natural Science Foundation of China under Grant 61703038, 61627808 and 9164820, and the National Key Research and Development Program of China under Grant SQ2017YFB130092.

Citation

Ma, C., Li, R. and Qiao, H. (2018), "Non-fragile consensus control of networked robotic manipulators with topology-dependent memory", Assembly Automation, Vol. 38 No. 5, pp. 625-634. https://doi.org/10.1108/AA-01-2018-001

Publisher

:

Emerald Publishing Limited

Copyright © 2018, Emerald Publishing Limited

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