Skip to main content
We gratefully acknowledge support from the Simons Foundation, member institutions, and all contributors. Donate
arXiv logo
Cornell University Logo

Computer Science > Systems and Control

arXiv:1505.05537 (cs)
[Submitted on 20 May 2015]

Title:Distributed Adaptive Fault-Tolerant Control of Uncertain Multi-Agent Systems

Authors:Mohsen Khalili, Xiaodong Zhang, Marios M. Polycarpou, Thomas Parisini, Yongcan Cao
View PDF
Abstract:This paper presents an adaptive fault-tolerant control (FTC) scheme for a class of nonlinear uncertain multi-agent systems. A local FTC scheme is designed for each agent using local measurements and suitable information exchanged between neighboring agents. Each local FTC scheme consists of a fault diagnosis module and a reconfigurable controller module comprised of a baseline controller and two adaptive fault-tolerant controllers activated after fault detection and after fault isolation, respectively. Under certain assumptions, the closed-loop system's stability and leader-follower consensus properties are rigorously established under different modes of the FTC system, including the time-period before possible fault detection, between fault detection and possible isolation, and after fault isolation.
Subjects: Systems and Control (eess.SY); Multiagent Systems (cs.MA)
Cite as: arXiv:1505.05537 [cs.SY]
  (or arXiv:1505.05537v1 [cs.SY] for this version)
  https://doi.org/10.48550/arXiv.1505.05537

Submission history

From: Mohsen Khalili [view email]
[v1] Wed, 20 May 2015 21:32:41 UTC (49 KB)
Full-text links:

Access Paper:

  • View PDF
  • TeX Source
  • Other Formats
view license
Current browse context:
eess.SY
< prev   |   next >
new | recent | 2015-05
Change to browse by:
cs
cs.MA
cs.SY

References & Citations

DBLP - CS Bibliography

listing | bibtex
Mohsen Khalili
Xiaodong Zhang
Marios M. Polycarpou
Thomas Parisini
Yongcan Cao
export BibTeX citation

Bookmark

BibSonomy logo Reddit logo

Bibliographic and Citation Tools

Bibliographic Explorer (What is the Explorer?)
Connected Papers (What is Connected Papers?)
Litmaps (What is Litmaps?)
scite Smart Citations (What are Smart Citations?)

Code, Data and Media Associated with this Article

alphaXiv (What is alphaXiv?)
CatalyzeX Code Finder for Papers (What is CatalyzeX?)
DagsHub (What is DagsHub?)
Gotit.pub (What is GotitPub?)
Hugging Face (What is Huggingface?)
Papers with Code (What is Papers with Code?)
ScienceCast (What is ScienceCast?)

Demos

Replicate (What is Replicate?)
Hugging Face Spaces (What is Spaces?)
TXYZ.AI (What is TXYZ.AI?)

Recommenders and Search Tools

Influence Flower (What are Influence Flowers?)
CORE Recommender (What is CORE?)

arXivLabs: experimental projects with community collaborators

arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website.

Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them.

Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.

Which authors of this paper are endorsers? | Disable MathJax (What is MathJax?)