Nonlinear Optimal Control Synthesis Using Basis Functions: Algorithms and Examples

Minh Vu, Hao Fang, Shen Zeng

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

The ability to quickly synthesize an optimal control signal for a nonlinear system is critical for practical implementations. In previous work, we have introduced a computational procedure to iteratively synthesize an optimal control signal for a very broad class of nonlinear control systems. This paper presents an extension of the approach to allow for different parameterizations of control inputs, resulting in a substantial reduction in the number of decision variables and thus computation time. The highlighted efficiency and effectiveness of the proposed approach are illustrated and compared against other methods using various control examples.

Original languageEnglish
Title of host publicationCCTA 2021 - 5th IEEE Conference on Control Technology and Applications
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages493-498
Number of pages6
ISBN (Electronic)9781665436434
DOIs
StatePublished - 2021
Event5th IEEE Conference on Control Technology and Applications, CCTA 2021 - Virtual, San Diego, United States
Duration: Aug 8 2021Aug 11 2021

Publication series

NameCCTA 2021 - 5th IEEE Conference on Control Technology and Applications

Conference

Conference5th IEEE Conference on Control Technology and Applications, CCTA 2021
Country/TerritoryUnited States
CityVirtual, San Diego
Period08/8/2108/11/21

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