?url_ver=Z39.88-2004&rft_id=10.5204%2Fthesis.eprints.235043&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rft.title=Data-driven+discovery+of+mode+switching+conditions+to+create+hybrid+models+of+cyber-physical+systems&rft.creator=Hussain%2C+Mukhtar&rft.subject=Cyber-Physical+Systems&rft.subject=Hybrid+Petri+Nets&rft.subject=Guard+Conditions&rft.subject=Hybrid+System+Identification&rft.subject=Decision+Mining&rft.description=Models+are+essential+tools+for+evaluating+a+system%E2%80%99s+behaviour+under+different+scenarios.+However%2C+in+industrial+practice+pre-existing+models+of+cyber-physical+systems+(CPSs)+are+not+always+available+because+CPSs+can+be+legacy+systems+which+are+subject+to+changes+and+upgrades+over+time+that+may+not+be+well+documented.+System+identification+addresses+the+problem+by+creating+models+from+the+external+observation+of+a+system.+This+research+is+concerned+with+hybrid+system+identification+of+CPSs%2C+i.e.%2C+building+models+of+dynamic+systems+switching+between+different+operating+modes.+This+thesis+presents+methods+for+discovering+data-driven+mode+switching+conditions+essential+for+building+such+models.&rft.publisher=Queensland+University+of+Technology&rft.date=2022&rft.type=Thesis&rft.format=application%2Fpdf&rft.relation=https%3A%2F%2Feprints.qut.edu.au%2F235043%2F1%2FMukhtar_Hussain_Thesis.pdf&rft.rights=free_to_read&rft.rights=http%3A%2F%2Fcreativecommons.org%2Flicenses%2Fby-nc-nd%2F4.0%2F&rft.relation=doi%3A10.5204%2Fthesis.eprints.235043&rft.relation=Hussain%2C+Mukhtar+(2022)+Data-driven+discovery+of+mode+switching+conditions+to+create+hybrid+models+of+cyber-physical+systems.+PhD+thesis%2C+Queensland+University+of+Technology.&rft.id_number=https%3A%2F%2Feprints.qut.edu.au%2F235043%2F&rft.identifier=Faculty+of+Science%3B+School+of+Computer+Science