Non-Model Based Finite-Horizon Sampled-Data Optimal Control Via Global Extremum Seeking

Sei Zhen Khong

Research output: Chapter in Book/Report/Conference proceedingPaper in conference proceedingpeer-review

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
Title of host publication[Host publication title missing]
PublisherIEEE - Institute of Electrical and Electronics Engineers Inc.
Pages1400-1405
Publication statusPublished - 2014
Event2014 IEEE Multi-Conference on Systems and Control - Antibes, France
Duration: 2014 Oct 8 → …

Publication series

Name
ISSN (Print)1085-1992

Conference

Conference2014 IEEE Multi-Conference on Systems and Control
Country/TerritoryFrance
CityAntibes
Period2014/10/08 → …

Subject classification (UKÄ)

  • Control Engineering

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