Linear State Signal Shaping Explicit Model Predictive Control Using Tensor Decompositions-Reference-Cited by-同舟云学术

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Linear State Signal Shaping Explicit Model Predictive Control Using Tensor Decompositions

Published:2024 Issue: Volume:12 Page:64427-64438
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Cateriano Yáñez Carlos¹^ORCID,Pangalos Georg¹^ORCID,Meyer Jan-Henrik²,Lichtenberg Gerwald³^ORCID,Sanchis Sáez Javier⁴^ORCID

Affiliation:

1. Application Center for Integration of Local Energy Systems ILES, Fraunhofer Institute for Wind Energy Systems IWES, Hamburg, Germany

2. Panasonic Industrial Devices Europe, Lüneburg, Germany

3. Faculty Life Sciences, Hamburg University of Applied Sciences, Hamburg, Germany

4. Instituto Universitario de Automática e Informática Industrial, Universitat Politècnica de València, Valencia, Spain

Funder

Project Northern German Living Laboratory by the Federal Ministry for Economic Affairs and Climate Action

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6287639/10380310/10517585.pdf?arnumber=10517585

Reference36 articles.

1. Power Quality Problems and Mitigation Techniques

2. A control strategy for the stable operation of shunt active power filters in power grids

3. Adaptive fuzzy-neural-network based on RBFNN control for active power filter

4. Constrained Linear State Signal Shaping Model Predictive Control for Harmonic Compensation in Power Systems

5. Comparison of Linear State Signal Shaping Model Predictive Control with Classical Concepts for Active Power Filter Design

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