Online Learning ARMA Controllers with Guaranteed Closed-Loop Stability
Abstract
This paper presents a novel online block adaptive learning algorithm for autoregressive moving average (ARMA) controller design based on the real data measured from the plant. The method employs ARMA input-output models both for the plant and the resultin
URI
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85027705223&doi=10.1109%2fTNNLS.2015.2480764&partnerID=40&md5=efc05d6ebe6dce4d626b58dec27596e1https://dspace.yasar.edu.tr/xmlui/handle/20.500.12742/10161
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