Evidence map›Paper›PMID 40087367›Full record

ArticleScientific reports2025

A linear matric inequality based multi-loop PI control design for coupled multivariable liquid level system.

Soumya Ranjan Mahapatro, Chandramauleshwar Roy, Raju Patel, Satyajit Das

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Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

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3 · Its place in the literature

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Soumya Ranjan MahapatroSchool of Electronic Engineering, Vellore Institute of Technology, Kelambakkam Road, Chennai, 600127, Tamil Nadu, India. mahapatro.soumya@gmail.com.
Chandramauleshwar Roy *School of Electronic Engineering, Vellore Institute of Technology, Kelambakkam Road, Chennai, 600127, Tamil Nadu, India.
Raju Patel *School of Electronic Engineering, Vellore Institute of Technology, Kelambakkam Road, Chennai, 600127, Tamil Nadu, India.
Satyajit Das *School of Electrical Engineering, Vellore Institute of Technology, Vellore, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This paper presents design and development of an optimal robust PI controller based on linear matrix inequalities for a typical industrial process control system. In this method, the design problem has been transformed into a state feedback controller design problem for an augmented uncertainty MIMO system. In this work, a dynamic decoupler is designed to handle loop interaction.  The control problem is then solved for the obtained decoupled subsystem by employing a constraint optimization approach, ensuring compliance with a defined LQ cost objective function. Simulation results verify the efficacy of the proposed controller, presenting its effectiveness in achieving both set-point accuracy and disturbance attenuation. Furthermore, the study employs disk margin analysis to ascertain safe ranges for gain and phase margin.

Indexed as

Decoupling ControlLinear matrix inequalityProcess controlRobustness

Identifiers

PMID40087367
PMCPMC11909222

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