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Research Article
Zhi Liu
Guangdong University of Technology
Corresponding Author
ORCiD: https://orcid.org/0000-0001-6300-578X
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An indirect adaptive consensus control method is presented for MASs with Unknown Bouc-Wen hysteresis states and input. All states of MASs are measured by sensors subjected to hysteresis. In order to reduce the effect of hysteresis with multi-value and rate-dependent characteristics, an adaptive compensated scheme is proposed. NNs are introduced to approximate the time-varying control gain which is coupled by input hysteresis and states hysteresis. The parameters of inverse compensation model are approximated by adaptive laws. The proposed control scheme can guarantee that the consensus errors of followers converge to a predefined interval of zero asymptotically. In addition, the transient performance of MASs can be further ensured. A simulation example is included to verify the effectiveness of the presented control approach.
Keywords
Adaptive neural control, Input and states hysteresis, Inverse compensation, Consensus control
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View the published article at Nonlinear Dynamics.
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See the published version of this preprint at Nonlinear Dynamics.
This is a preprint, a preliminary version of a manuscript that has not completed peer review at a journal. Research Square does not conduct peer review prior to posting preprints. The posting of a preprint on this server should not be interpreted as an endorsement of its validity or suitability for dissemination as established information or for guiding clinical practice.
Learn more about In Review
Research Article
Zhi Liu
Guangdong University of Technology
Corresponding Author
ORCiD: https://orcid.org/0000-0001-6300-578X
Badges
Prescreen
This manuscript passed our Prescreen assessment
Complete author information
Appropriate declaration statements
Potential risks to human health
Prescreen
Peer Review Timeline
CURRENT STATUS: Published
View the published article at Nonlinear Dynamics.
Version 1
Posted 12 Mar, 2021
No community comments so far
Editorial decision: Major revisions
On 02 Apr, 2021
Reviewers invited
Invitations sent on 06 Mar, 2021
Reviews received
Received 06 Mar, 2021
Editor assigned
On 04 Mar, 2021
First submitted
On 03 Mar, 2021
Metrics
Comments: 0
PDF Downloads: ...
HTML Views: ...
License:
This work is licensed under a CC BY 4.0 License. Read Full License
View the published article at Nonlinear Dynamics.
An indirect adaptive consensus control method is presented for MASs with Unknown Bouc-Wen hysteresis states and input. All states of MASs are measured by sensors subjected to hysteresis. In order to reduce the effect of hysteresis with multi-value and rate-dependent characteristics, an adaptive compensated scheme is proposed. NNs are introduced to approximate the time-varying control gain which is coupled by input hysteresis and states hysteresis. The parameters of inverse compensation model are approximated by adaptive laws. The proposed control scheme can guarantee that the consensus errors of followers converge to a predefined interval of zero asymptotically. In addition, the transient performance of MASs can be further ensured. A simulation example is included to verify the effectiveness of the presented control approach.
Figure 1
Figure 2
Figure 3
Figure 4
Figure 5
Figure 6
Figure 7
Figure 8
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