Sparsity-constrained optimization of inputs to second-order systems

Research output: Chapter in Book/Report/Conference proceedingPaper in conference proceeding

Abstract

We propose an efficient algorithm, that given a strictly proper, second-order system, finds a sparse input signal so that the system's output optimally approximates a given trajectory in least-squares sense. As an illustration, we apply the algorithm to an estimation problem from medicine.

Details

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Research areas and keywords

Subject classification (UKÄ) – MANDATORY

  • Control Engineering
Original languageEnglish
Title of host publication2019 18th European Control Conference, ECC 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages406-410
Number of pages5
ISBN (Electronic)9783907144008
Publication statusPublished - 2019
Publication categoryResearch
Peer-reviewedYes
Event18th European Control Conference, ECC 2019 - Naples, Italy, Naples, Italy
Duration: 2019 Jun 252019 Jun 28

Conference

Conference18th European Control Conference, ECC 2019
CountryItaly
CityNaples
Period2019/06/252019/06/28