Non-Model Based Finite-Horizon Sampled-Data Optimal Control Via Global Extremum Seeking
(2014) 2014 IEEE Multi-Conference on Systems and Control p.1400-1405- Abstract
- A non-model based approach to finite-horizon optimal sampled-data control of continuous-time nonlinear systems subject to input saturation constraints is proposed. The approach adapts the global optimisation method DIRECT to computing a periodically piecewise constant system input which minimises a possibly non-quadratic cost involving the system state and input. In the case where several similar plants are available, multi-agent extremum seeking control is considered for the purpose of expediting the search for an optimal control law within a tolerable margin of errors. An example based on pendulum dynamics illustrates the results.
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/4739167
- author
- Khong, Sei Zhen LU
- organization
- publishing date
- 2014
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- host publication
- [Host publication title missing]
- pages
- 1400 - 1405
- publisher
- IEEE - Institute of Electrical and Electronics Engineers Inc.
- conference name
- 2014 IEEE Multi-Conference on Systems and Control
- conference location
- Antibes, France
- conference dates
- 2014-10-08
- external identifiers
-
- wos:000366055800201
- scopus:84920507321
- ISSN
- 1085-1992
- language
- English
- LU publication?
- yes
- id
- b255e186-2b3d-499c-a773-96c1494b46af (old id 4739167)
- date added to LUP
- 2016-04-01 13:55:22
- date last changed
- 2025-04-04 14:45:25
@inproceedings{b255e186-2b3d-499c-a773-96c1494b46af, abstract = {{A non-model based approach to finite-horizon optimal sampled-data control of continuous-time nonlinear systems subject to input saturation constraints is proposed. The approach adapts the global optimisation method DIRECT to computing a periodically piecewise constant system input which minimises a possibly non-quadratic cost involving the system state and input. In the case where several similar plants are available, multi-agent extremum seeking control is considered for the purpose of expediting the search for an optimal control law within a tolerable margin of errors. An example based on pendulum dynamics illustrates the results.}}, author = {{Khong, Sei Zhen}}, booktitle = {{[Host publication title missing]}}, issn = {{1085-1992}}, language = {{eng}}, pages = {{1400--1405}}, publisher = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}}, title = {{Non-Model Based Finite-Horizon Sampled-Data Optimal Control Via Global Extremum Seeking}}, year = {{2014}}, }