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Georgios Andrikopoulos

Researcher at Luleå University of Technology

Publications -  20
Citations -  566

Georgios Andrikopoulos is an academic researcher from Luleå University of Technology. The author has contributed to research in topics: Automatic control & Pneumatic actuator. The author has an hindex of 8, co-authored 17 publications receiving 430 citations. Previous affiliations of Georgios Andrikopoulos include University of Patras.

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Proceedings ArticleDOI

A Survey on applications of Pneumatic Artificial Muscles

TL;DR: A survey on applications of Pneumatic Artificial Muscles (PAMs) can be found in this paper, where the key enabling applications in PAMs that are focusing in the following areas: a) Biorobotic, b) Medical, c) Industrial, and d) Aerospace applications.
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Advanced Nonlinear PID-Based Antagonistic Control for Pneumatic Muscle Actuators

TL;DR: A two-degree-of-freedom nonlinear proportional-integral-derivative structure is being synthesized, providing ameliorated compensation of the PMAs' nonlinear hysteretic phenomena and advanced robustness through disturbance cancellation.
Proceedings ArticleDOI

A survey on pneumatic muscle actuators modeling

TL;DR: A survey on the most popular modeling approaches for pneumatic muscle actuators can be found in this paper, where the authors analyze the PMA operation from a mathematical modeling perspective, present their merits and drawbacks of the most common PMAs, and establish the fundamental basis for developing industrial applications and conducting research in this field.
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Pseudoexfoliation syndrome and cardiovascular diseases

TL;DR: Common features in the pathogenesis of both atherosclerosis and PEX, like oxidative stress and inflammation and a possible higher frequency of abdominal aorta aneurysm in PEX patients, could imply that these grey-white deposits and cardiovascular disorders are related or reflect different manifestations of the same process.
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Pneumatic artificial muscles: A switching Model Predictive Control approach

TL;DR: In this article, a switching Model Predictive Controller (sMPC) for a pneumatic artificial muscle (PAM) is presented, which is based on a switching PieceWise Affine (PWA) system model approximation that is able to capture the high nonlinearities of the PAM.