<Record><identifier xmlns="http://purl.org/dc/elements/1.1/">URN:NBN:SI:doc-WI7TX706</identifier><date>2024</date><creator>Qi, Xiaolong</creator><relation>documents/doc/W/URN_NBN_SI_doc-WI7TX706_001.pdf</relation><relation>documents/doc/W/URN_NBN_SI_doc-WI7TX706_001.txt</relation><format format_type="volume">48</format><format format_type="issue">9</format><format format_type="type">article</format><format format_type="extent">str. 127-141</format><identifier identifier_type="DOI">10.31449/inf.v48i9.5890</identifier><identifier identifier_type="ISSN">1854-3871</identifier><identifier identifier_type="COBISSID">216656899</identifier><identifier identifier_type="URN">URN:NBN:SI:doc-WI7TX706</identifier><language>eng</language><publisher publisher_location="Ljubljana">Informatika</publisher><source>Informatica (Ljubljana)</source><rights>BY</rights><subject language_type_id="slv">algoritmi</subject><subject language_type_id="slv">avtonomni podvodni roboti</subject><subject language_type_id="slv">model napovedne regulacije</subject><subject language_type_id="slv">nevronske mreže</subject><subject language_type_id="slv">optimiranje</subject><subject language_type_id="slv">umetna inteligenca</subject><title>Event-triggered predictive control algorithm for multi-AUV formation modeling</title></Record>