Non-model based finite-horizon sampled-data optimal control via global extremum seeking

Sei Zhen Khong

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

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.

Original languageEnglish (US)
Title of host publication2014 IEEE Conference on Control Applications, CCA 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1400-1405
Number of pages6
ISBN (Electronic)9781479974092
DOIs
StatePublished - Dec 9 2014
Event2014 IEEE Conference on Control Applications, CCA 2014 - Juan Les Antibes, France
Duration: Oct 8 2014Oct 10 2014

Publication series

Name2014 IEEE Conference on Control Applications, CCA 2014

Other

Other2014 IEEE Conference on Control Applications, CCA 2014
CountryFrance
CityJuan Les Antibes
Period10/8/1410/10/14

Keywords

  • DIRECT optimisation
  • Multi-unit systems
  • Optimal control
  • extremum seeking

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