A genetic search approach to unfalsified PI control design for a weigh belt feeder

DOI10.1002/ACS.687zbMath0981.93521OpenAlexW2053539331MaRDI QIDQ2763366

Richard Millett, Yanan Zhao, Emmanuel G. jun. Collins

Publication date: 27 February 2002

Published in: International Journal of Adaptive Control and Signal Processing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/acs.687

zbMATH Keywords

genetic algorithmsunfalsified controlPI autotuningweigh belt feeder

Mathematics Subject Classification ID

Application models in control theory (93C95) Design techniques (robust design, computer-aided design, etc.) (93B51)

Cites Work

• Unnamed Item
• Unnamed Item
• Improved efficiency of adaptive robust control by model unfalsification
• The unfalsified control concept and learning

This page was built for publication: A genetic search approach to unfalsified PI control design for a weigh belt feeder