Adaptive position feedback consensus of networked robotic manipulators with uncertain parameters and communication delays

In this study, the authors address the leaderless consensus problem of multiple robotic manipulators with communication delays. Taking dynamic uncertainties of the robotic agents into consideration, they perform the distributed adaptive position feedback control scheme design for strongly connected...

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Published inIET control theory & applications Vol. 9; no. 13; pp. 1956 - 1963
Main Authors Wang, Lijiao, Meng, Bin
Format Journal Article
LanguageEnglish
Published The Institution of Engineering and Technology 27.08.2015
Subjects
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ISSN1751-8644
1751-8652
DOI10.1049/iet-cta.2014.1125

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Abstract In this study, the authors address the leaderless consensus problem of multiple robotic manipulators with communication delays. Taking dynamic uncertainties of the robotic agents into consideration, they perform the distributed adaptive position feedback control scheme design for strongly connected information topology, where the communication is subject to constant and bounded time delays. The novel distributed sliding observer is first proposed such that the joint velocities can be estimated online. Then, the distributed adaptive controller with dynamic parameter updating is constructed based on the observed information. The convergence of consensus errors is proved with Lyapunov stability analysis tool. Finally, simulations are performed on networked robotic manipulators to validate the effectiveness of the theoretical approach.
AbstractList In this study, the authors address the leaderless consensus problem of multiple robotic manipulators with communication delays. Taking dynamic uncertainties of the robotic agents into consideration, they perform the distributed adaptive position feedback control scheme design for strongly connected information topology, where the communication is subject to constant and bounded time delays. The novel distributed sliding observer is first proposed such that the joint velocities can be estimated online. Then, the distributed adaptive controller with dynamic parameter updating is constructed based on the observed information. The convergence of consensus errors is proved with Lyapunov stability analysis tool. Finally, simulations are performed on networked robotic manipulators to validate the effectiveness of the theoretical approach.
Author Wang, Lijiao
Meng, Bin
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Issue 13
Keywords convergence
manipulators
uncertain parameters
multi-robot systems
control system synthesis
adaptive control
networked robotic manipulators
time delays
dynamic uncertainties
distributed adaptive position feedback control scheme design
feedback
Lyapunov stability analysis tool
delays
distributed sliding observer
information topology
networked control systems
position control
communication delays
stability
observers
robotic agents
Lyapunov methods
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  doi: 10.1109/TAC.2010.2041974
– volume-title: Robot dynamics and control
  year: 1989
  ident: e_1_2_7_21_1
– ident: e_1_2_7_19_1
  doi: 10.1109/TCST.2004.825065
– ident: e_1_2_7_3_1
  doi: 10.1109/JPROC.2006.887293
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Snippet In this study, the authors address the leaderless consensus problem of multiple robotic manipulators with communication delays. Taking dynamic uncertainties of...
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wiley
iet
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StartPage 1956
SubjectTerms adaptive control
communication delays
control system synthesis
Control theory
convergence
Delay
delays
distributed adaptive position feedback control scheme design
distributed sliding observer
dynamic uncertainties
Dynamics
feedback
Feedback control
information topology
Lyapunov methods
Lyapunov stability analysis tool
Manipulators
multi‐robot systems
networked control systems
networked robotic manipulators
observers
position control
Robot arms
robotic agents
Robotics
stability
Stability analysis
time delays
uncertain parameters
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  priority: 102
  providerName: Wiley-Blackwell
Title Adaptive position feedback consensus of networked robotic manipulators with uncertain parameters and communication delays
URI http://digital-library.theiet.org/content/journals/10.1049/iet-cta.2014.1125
https://onlinelibrary.wiley.com/doi/abs/10.1049%2Fiet-cta.2014.1125
https://www.proquest.com/docview/1793255677
Volume 9
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