title: Networked Iterative Learning Control Under Changing Operating Mode of Agents and Configuration of Information Network
metadata.name: dc.contributor.author
metadata.value: Koposov, Anton Sergeevich
metadata.lang: -
metadata.name: dc.date.accessioned
metadata.value: 2023-04-11T09:52:07Z
metadata.lang: -
metadata.name: dc.date.available
metadata.value: 2023-04-11T09:52:07Z
metadata.lang: -
metadata.name: dc.date.issued
metadata.value: 2023-03
metadata.lang: -
metadata.name: dc.identifier.other
metadata.value: https://doi.org/10.21638/11701/spbu35.2023.104
metadata.lang: -
metadata.name: dc.identifier.uri
metadata.value: http://hdl.handle.net/11701/41277
metadata.lang: -
metadata.name: dc.description.abstract
metadata.value: The paper considers the iterative learning control (ILC) design problem of a network system under changing operating mode of subsystems (agents) and configuration of information network. The network system consists of identical agents, which are discrete linear dynamic plants operating in a repetitive mode. The operating modes of agents depend on their parameters and the reference trajectory, which must be tracked with required accuracy at output of system. The configurations of information network define the group of functioning agents and the type of information exchange between them. The mode and the configuration change takes place in accordance with certain external rules. The control design is based on the divergent method of the vector Lyapunov function. For reducing the transient error caused by the mode change and the connection of new agents, a special rule for switching the ILC law is proposed. The results of modeling the obtained control law for a group of manipulators with flexible link are presented.
metadata.lang: en_GB
metadata.name: dc.description.sponsorship
metadata.value: The work was supported by the Russian Science 
  Foundation under grant 21-71-00091,https://rscf.ru/project/21-71-00091/.
metadata.lang: en_GB
metadata.name: dc.language.iso
metadata.value: ru
metadata.lang: en_GB
metadata.name: dc.publisher
metadata.value: St Petersburg State University
metadata.lang: en_GB
metadata.name: dc.relation.ispartofseries
metadata.value: Differential Equations and Control Processes;Issue 1
metadata.lang: -
metadata.name: dc.subject
metadata.value: networked control
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: iterative learning control
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: systems with switches
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: changing reference trajectory
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: vector Lyapunov function
metadata.lang: en_GB
metadata.name: dc.title
metadata.value: Networked Iterative Learning Control Under Changing Operating Mode of Agents and Configuration of Information Network
metadata.lang: en_GB
metadata.name: dc.type
metadata.value: Article
metadata.lang: en_GB
resources.filename: 35-53.pdf
resources.url: https://dspace.spbu.ru/bitstream/11701/41277/1/35-53.pdf
resources.format: Adobe PDF
resources.size: 433,32 kB