Unfalsified PI control design for a weigh belt feeder using genetic search

Proceedings of the American Control Conference

Volumn 5, Issue , 2001, Pages 4116-4121

  Collins, Emmanuel G ^a   Zhao, Yanan ^a   Millett, Richard ^b  

^a FLORIDA STATE UNIVERSITY   (United States)

^b Merrick Industries   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BELTS; CLOSED LOOP CONTROL SYSTEMS; GENETIC ALGORITHMS; MATHEMATICAL MODELS; THREE TERM CONTROL SYSTEMS;

INDUSTRIAL WEIGH BELT FEEDER; UNFALSIFIED CONTROL;

CONTROL SYSTEM SYNTHESIS;

EID: 0034841442     PISSN: 07431619     EISSN: None     Source Type: Journal    
DOI: 10.1109/ACC.2001.946374     Document Type: Article

References (12)

1. The unfalsified control concept and learning
2. Controller validation, identification and learning
3. Direct unfalsified controller design-solution via convex optimization
4. Iterative unfalsified adaptive control: Analysis of the disturbance-free case
5. Improved efficiency of adaptive robust control by model unfalsification
6. Automated PI tuning for a weigh belt feedber via unfalisified control