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Projects / Programmes source: ARIS

Autotuning of an Extended Smith Predictor

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Research activity

Code Science Field Subfield
2.06.01  Engineering sciences and technologies  Systems and cybernetics  Control systems technology 

Code Science Field
T125  Technological sciences  Automation, robotics, control engineering 
Keywords
Smith predictor, multiple integration, magnitude optimum, autotuning
Evaluation (rules)
source: COBISS
Evaluation of bibliographic research performance indicators according to ARIS methodology
Citations Citations for bibliographic records in COBIB.SI that are linked to records in citation databases
source: WoS source: Scopus source: COBISS
Researchers (1)
no. Code Name and surname Research area Role Period No. of publications
1.  12342  PhD Damir Vrančić  Systems and cybernetics  Head  1999 - 2000  339 
Organisations (1)
no. Code Research organisation City Registration number No. of publications
1.  0106  Jožef Stefan Institute  Ljubljana  5051606000  90,753 
Abstract
The aim of the project is to develop an extended Smith predictor which should improve disturbance rejection properties of the existing Modified Smith Predictor. An algorithm for automatic tuning of the controller parameters will also be added. The resulting prototype of the control algorithm will be implemented on an PC-based real-time acquisition system.
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