Evidence map›Paper›PMID 36845944›Full record

ArticleIEEE open journal of control systems2023

Exact Decomposition of Optimal Control Problems via Simultaneous Block Diagonalization of Matrices.

Amirhossein Nazerian, Kshitij Bhatta, Francesco Sorrentino

Abstract read
In one paragraph

Article in IEEE open journal of control systems, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Amirhossein NazerianMechanical Engineering Department, University of New Mexico, Albuquerque, NM 87131 USA.ORCID 0000-0003-1280-2353
Kshitij BhattaMechanical and Aerospace Engineering, University of Virginia, Charlottesville, VA 22903 USA.ORCID 0000-0002-7884-9667
Francesco SorrentinoMechanical Engineering Department, University of New Mexico, Albuquerque, NM 87131 USA.ORCID 0000-0001-8899-1176

Funding

A Closed Loop Control System with Live Cells in the LoopR21EB028489 · NIBIB · UNIVERSITY OF NEW MEXICO · PI SORRENTINO, FRANCESCO · 2020 to 2022
$577k
NIBIB NIH HHS R21 EB028489
6 · The paper itself

Abstract

In this paper, we consider optimal control problems (OCPs) applied to large-scale linear dynamical systems with a large number of states and inputs. We attempt to reduce such problems into a set of independent OCPs of lower dimensions. Our decomposition is 'exact' in the sense that it preserves all the information about the original system and the objective function. Previous work in this area has focused on strategies that exploit symmetries of the underlying system and of the objective function. Here, instead, we implement the algebraic method of simultaneous block diagonalization of matrices (SBD), which we show provides advantages both in terms of the dimension of the subproblems that are obtained and of the computation time. We provide practical examples with networked systems that demonstrate the benefits of applying the SBD decomposition over the decomposition method based on group symmetries.

Indexed as

Decouplingoptimal controlsimultaneous block diagonalization

Identifiers

PMID36845944
PMCPMC9956949

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.