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A novel design is proposed based on the Smith predictor principle and uses a fractional-order internal model controller in the outer loop. The required fractional-order tuning parameter follows the desired gain and phase margins. At the same time, another tuning parameter, such as the fractional filter\u2019s time constant, is calculated from the desired performance constraint. Numerical analysis and comparison are performed to showcase the feature of the hybrid structure. The simulation results show that the fractional-order internal model controller\u2013based scheme provides enhanced tracking and faster regulation capabilities and works well under nominal and parameter uncertainty conditions.<\/jats:p>","DOI":"10.1177\/09596518231168510","type":"journal-article","created":{"date-parts":[[2023,5,12]],"date-time":"2023-05-12T02:04:52Z","timestamp":1683857092000},"page":"1523-1541","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":17,"title":["Improved control of integrating cascade processes with time delays using fractional-order internal model controller with the Smith predictor"],"prefix":"10.1177","volume":"237","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4776-7463","authenticated-orcid":false,"given":"Anjana","family":"Ranjan","sequence":"first","affiliation":[{"name":"School of Information Technology, Engineering, Mathematics and Physics, The University of the South 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