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On convexity in stabilization of nonlinear systems

Rantzer, Anders LU orcid and Parrilo, Pablo (2000) 3. p.2942-2945
Abstract
A stability criterion for nonlinear systems, derived by the first author (2000), can be viewed as a dual to Lyapunov's second theorem. The criterion is stated in terms of a function which can be interpreted as the stationary density of a substance that is generated all over the state space and flows along the system trajectories towards the equilibrium. The new criterion has a remarkable convexity property, which in this paper is used for controller synthesis via convex optimization. Numerical methods for verification of positivity of multivariate polynomials are used
Please use this url to cite or link to this publication:
author
and
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
stability criteria, polynomials, optimisation, nonlinear control systems, Lyapunov methods, control system synthesis
host publication
Proceedings of the 39th IEEE Conference on Decision and Control, 2000.
volume
3
pages
2942 - 2945
publisher
IEEE - Institute of Electrical and Electronics Engineers Inc.
external identifiers
  • scopus:0034438616
ISBN
0-7803-6638-7
DOI
10.1109/CDC.2000.914264
language
English
LU publication?
yes
id
1c8dc838-619d-4694-89df-e92e8dbe76f8 (old id 538012)
date added to LUP
2016-04-04 11:00:24
date last changed
2023-11-16 00:48:07
@inproceedings{1c8dc838-619d-4694-89df-e92e8dbe76f8,
  abstract     = {{A stability criterion for nonlinear systems, derived by the first author (2000), can be viewed as a dual to Lyapunov's second theorem. The criterion is stated in terms of a function which can be interpreted as the stationary density of a substance that is generated all over the state space and flows along the system trajectories towards the equilibrium. The new criterion has a remarkable convexity property, which in this paper is used for controller synthesis via convex optimization. Numerical methods for verification of positivity of multivariate polynomials are used}},
  author       = {{Rantzer, Anders and Parrilo, Pablo}},
  booktitle    = {{Proceedings of the 39th IEEE Conference on Decision and Control, 2000.}},
  isbn         = {{0-7803-6638-7}},
  keywords     = {{stability criteria; polynomials; optimisation; nonlinear control systems; Lyapunov methods; control system synthesis}},
  language     = {{eng}},
  pages        = {{2942--2945}},
  publisher    = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}},
  title        = {{On convexity in stabilization of nonlinear systems}},
  url          = {{https://lup.lub.lu.se/search/files/5672391/625733.pdf}},
  doi          = {{10.1109/CDC.2000.914264}},
  volume       = {{3}},
  year         = {{2000}},
}