A small-gain theory for abstract systems on topological spaces
File(s)Bin_Parisini_TAC_2023.pdf (761.27 KB)
Published version
Author(s)
Bin, Michelangelo
Parisini, Thomas
Type
Journal Article
Abstract
We develop a small-gain theory for systems
described by set-valued maps between topological spaces.
We introduce an abstract notion of stability unifying the
continuity properties underlying different existing con cepts, such as Lyapunov stability of equilibria, sets, or mo tions, (incremental) input–output stability, asymptotic gain
properties, and continuity with respect to fast-switching
inputs. Then, we prove that a feedback interconnection en joying a given abstract small-gain property is stable. While,
in general, the proposed small-gain property cannot be
decomposed as the union of stability of the subsystems
and a contractiveness condition, we show that it is implied
by standard assumptions in the context of input-to-state
stable systems. Finally, we provide application examples
illustrating how the developed theory can be used for the
analysis of interconnected systems and design of control
systems.
described by set-valued maps between topological spaces.
We introduce an abstract notion of stability unifying the
continuity properties underlying different existing con cepts, such as Lyapunov stability of equilibria, sets, or mo tions, (incremental) input–output stability, asymptotic gain
properties, and continuity with respect to fast-switching
inputs. Then, we prove that a feedback interconnection en joying a given abstract small-gain property is stable. While,
in general, the proposed small-gain property cannot be
decomposed as the union of stability of the subsystems
and a contractiveness condition, we show that it is implied
by standard assumptions in the context of input-to-state
stable systems. Finally, we provide application examples
illustrating how the developed theory can be used for the
analysis of interconnected systems and design of control
systems.
Date Issued
2023-08
Date Acceptance
2023-03-05
Citation
IEEE Transactions on Automatic Control, 2023, 68 (8), pp.4494-4507
ISSN
0018-9286
Publisher
Institute of Electrical and Electronics Engineers
Start Page
4494
End Page
4507
Journal / Book Title
IEEE Transactions on Automatic Control
Volume
68
Issue
8
Copyright Statement
CCBY - IEEE is not the copyright holder of this material. Please follow the instructions via https://creativecommons.org/licenses/by/4.0/ to obtain full-text articles and stipulations in the API documentation.
License URL
Identifier
https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:001041305400001&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=a2bf6146997ec60c407a63945d4e92bb
Subjects
Abstract systems
Automation & Control Systems
Engineering
Engineering, Electrical & Electronic
FEEDBACK-SYSTEMS
INCREMENTAL STABILITY
LYAPUNOV FORMULATION
NETWORKS
NONUNIFORM
Science & Technology
smallgain theorem
sta-bility theory
Technology
TO-STATE STABILITY
Publication Status
Published
Date Publish Online
2023-03-14