Advances in Smart Structures Using Control Algorithms for Sustainable Manufacturing

Amalia Moutsopoulou , Markos Petousis , Nectarios Vidakis , Anastasios Pouliezos , Georgios E. Stavroulakis

Adv. Mat. Sustain. Manuf. ›› 2026, Vol. 3 ›› Issue (2) : 10007

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Adv. Mat. Sustain. Manuf. ›› 2026, Vol. 3 ›› Issue (2) :10007 DOI: 10.70322/amsm.2026.10007
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Advances in Smart Structures Using Control Algorithms for Sustainable Manufacturing
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Abstract

This paper presents developments in the intelligent control of smart structures for sustainable manufacturing. This study aimed to develop advanced control approaches for the intelligent control of piezoelectric structures and suppression of oscillations. A significant achievement is the development of advanced-control algorithms. Robust control techniques, such as H-infinity control, guarantee system performance and stability in the face of uncertainties and disruptions. The addition of white noise and uncertainty to advanced finite element models is a novel aspect of this study. The outcomes of the analysis were used to present the advances made using this method. This approach is innovative because it employs intelligent control strategies that consider construction optimization by reducing the oscillations and measurement noise. By accounting for modeling uncertainty, these methods optimize construction. Optimizing smart structures makes them more sustainable and ideal for practical applications. The proposed construction is sustainable and creates an innovative design for civil and mechanical engineering applications.

Keywords

Piezoelectric structures / Intelligent control / Finite element models / Algorithms

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Amalia Moutsopoulou, Markos Petousis, Nectarios Vidakis, Anastasios Pouliezos, Georgios E. Stavroulakis. Advances in Smart Structures Using Control Algorithms for Sustainable Manufacturing. Adv. Mat. Sustain. Manuf., 2026, 3 (2) : 10007 DOI:10.70322/amsm.2026.10007

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Author Contributions

A.M. and M.P.: software, formal analysis, writing review, and editing; G.E.S.: methodology; A.P.: investigation and software; N.V.: validation. All authors have read and agreed to the published version of this manuscript.

Ethics Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

The authors confirm that the data supporting the findings of this study are available in this article.

Funding

This research received no external funding.

Declaration of Competing Interest

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

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