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Selected contributions from the Workshop “Computational Intelligence”

  • Ralf Mikut

    Prof. Dr.-Ing. Ralf Mikut is head of the Department for Automated Image and Data Analysis at the Institute for Automation and Applied Informatics at the Karlsruhe Institute of Technology and is the spokesman of the Helmholtz Information and Data Science School for Health (HIDSS4Health). Research interests: Computational Intelligence; Data Analytics; Modeling and Image Analysis with applications in biology, chemistry, medical engineering, energy systems and robotics.

     EMAIL logo     , Andreas Kroll

    Univ.-Prof. Dr.-Ing. Andreas Kroll is head of the Department of Measurement and Control Engineering at the University of Kassel. Main research interests: Nonlinear system identification and control methods; computational intelligence; remote sensing and sensor data fusion.

         and Horst Schulte

    Prof. Dr.-Ing. Horst Schulte is head of the Control Engineering Group, Department of Engineering I at the HTW Berlin, Chairman of the Federation of German Windpower and Other Renewable Energies (FGW e.V.); Main research interests: Nonlinear and Linear Control Methods, Numerical optimization methods, Computational Intelligence in Control, Fault-tolerant Control, Power Systems and Smart Grids with Wind and PV Solar Power Plant integration.
Published/Copyright: October 17, 2023
at - Automatisierungstechnik
From the journal at - Automatisierungstechnik Volume 71 Issue 10

Published Online: 2023-10-17
Published in Print: 2023-10-26

© 2023 Walter de Gruyter GmbH, Berlin/Boston

Articles in the same Issue

  1. Frontmatter
  2. Editorial
  3. Selected contributions from the Workshop “Computational Intelligence”
  4. Methods
  5. Latin hypercubes for constrained design of experiments for data-driven models
  6. Handling of time delays in system identification with regularized FIR models
  7. Applications
  8. A fully automated touch-response behavior inspection pipeline on zebrafish larvae
  9. Approximative Modellierung eines LLC-Resonanzwandlers mit Takagi-Sugeno-Modellen
  10. Influence of nuisance variables on the PMU-based disturbance classification in power transmission systems
  11. Two-stage quality monitoring of a laser welding process using machine learning
  12. Fast power tracking control of PV power plants for frequency support
  13. Persönliches
  14. Prof. Dr.-Ing. habil. Joachim Rudolph zum 60. Geburtstag
https://doi.org/10.1515/auto-2023-0159

Articles in the same Issue

  1. Frontmatter
  2. Editorial
  3. Selected contributions from the Workshop “Computational Intelligence”
  4. Methods
  5. Latin hypercubes for constrained design of experiments for data-driven models
  6. Handling of time delays in system identification with regularized FIR models
  7. Applications
  8. A fully automated touch-response behavior inspection pipeline on zebrafish larvae
  9. Approximative Modellierung eines LLC-Resonanzwandlers mit Takagi-Sugeno-Modellen
  10. Influence of nuisance variables on the PMU-based disturbance classification in power transmission systems
  11. Two-stage quality monitoring of a laser welding process using machine learning
  12. Fast power tracking control of PV power plants for frequency support
  13. Persönliches
  14. Prof. Dr.-Ing. habil. Joachim Rudolph zum 60. Geburtstag
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