On approximate policy iteration for continuous-time systems
(2005) 44th IEEE Conference on Decision and Control, and the European Control Conference, CDC-ECC '05 p.1453-1458- Abstract
- We propose a new algorithm for feedback nonlinear synthesis. The algorithm computes suboptimal solutions, with bounds on suboptimality, to the Hamilton-Jacobi-Bellman equation. For systems that are modeled with polynomials the computations can be done efficiently via semidefinite programming. To illustrate the strength of the proposed method, we computesmooth stabilizing feedback controllers for several problems.
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/535797
- author
- Wernrud, Andreas LU and Rantzer, Anders LU
- organization
- publishing date
- 2005
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- keywords
- convex optimization, optimal control, nonlinear synthesis
- host publication
- Proceedings of the 44th IEEE Conference on Decision and Control and the 2005 European Control Conference
- pages
- 1453 - 1458
- publisher
- IEEE - Institute of Electrical and Electronics Engineers Inc.
- conference name
- 44th IEEE Conference on Decision and Control, and the European Control Conference, CDC-ECC '05
- conference location
- Seville, Spain
- conference dates
- 2005-12-12 - 2005-12-15
- external identifiers
-
- wos:000240653701074
- scopus:33847184924
- ISBN
- 0-7803-9568-9
- DOI
- 10.1109/CDC.2005.1582363
- language
- English
- LU publication?
- yes
- id
- d196a23f-dbb6-410c-ac4a-45ea39e1a9f7 (old id 535797)
- alternative location
- http://ieeexplore.ieee.org/iel5/10559/33412/01582363.pdf?tp=&arnumber=1582363&isnumber=33412
- date added to LUP
- 2016-04-04 10:29:07
- date last changed
- 2023-11-01 18:13:38
@inproceedings{d196a23f-dbb6-410c-ac4a-45ea39e1a9f7, abstract = {{We propose a new algorithm for feedback nonlinear synthesis. The algorithm computes suboptimal solutions, with bounds on suboptimality, to the Hamilton-Jacobi-Bellman equation. For systems that are modeled with polynomials the computations can be done efficiently via semidefinite programming. To illustrate the strength of the proposed method, we computesmooth stabilizing feedback controllers for several problems.}}, author = {{Wernrud, Andreas and Rantzer, Anders}}, booktitle = {{Proceedings of the 44th IEEE Conference on Decision and Control and the 2005 European Control Conference}}, isbn = {{0-7803-9568-9}}, keywords = {{convex optimization; optimal control; nonlinear synthesis}}, language = {{eng}}, pages = {{1453--1458}}, publisher = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}}, title = {{On approximate policy iteration for continuous-time systems}}, url = {{https://lup.lub.lu.se/search/files/5550067/625584.pdf}}, doi = {{10.1109/CDC.2005.1582363}}, year = {{2005}}, }