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Characterizations of integral input-to-state stability for systems with multiple invariant sets

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Title: Characterizations of integral input-to-state stability for systems with multiple invariant sets
Authors: Forni, P
Angeli, D
Item Type: Journal Article
Abstract: We extend the classical integral Input-to-State Stability (iISS) theory to systems evolving on complete Riemannian manifolds and admitting multiple disjoint invariant sets, so as to allow a much broader variety of dynamical behaviors of interest. Building upon a recent extension of the Input-to-State (ISS) theory for this same class of systems, we provide characterizations of the iISS concept in terms of dissipation inequalities and integral estimates as well as connections with the Strong iISS notion. Finally, we discuss some examples within the domain of mechanical systems.
Issue Date: 1-Aug-2017
Date of Acceptance: 24-Nov-2016
URI: http://hdl.handle.net/10044/1/65530
DOI: https://dx.doi.org/10.1109/TAC.2016.2642782
ISSN: 0018-9286
Publisher: Institute of Electrical and Electronics Engineers
Start Page: 3729
End Page: 3743
Journal / Book Title: IEEE Transactions on Automatic Control
Volume: 62
Issue: 8
Copyright Statement: © 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Keywords: Science & Technology
Technology
Automation & Control Systems
Engineering, Electrical & Electronic
Engineering
Lyapunov methods
manifolds
stability of nonlinear systems
NONLINEAR-SYSTEMS
ISS
IISS
FRAMEWORK
PROPERTY
THEOREM
OUTPUT
0906 Electrical And Electronic Engineering
0102 Applied Mathematics
0913 Mechanical Engineering
Industrial Engineering & Automation
Publication Status: Published
Online Publication Date: 2016-12-21
Appears in Collections:Electrical and Electronic Engineering
Faculty of Engineering