{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,28]],"date-time":"2025-11-28T12:17:10Z","timestamp":1764332230734,"version":"3.41.0"},"reference-count":25,"publisher":"Cambridge University Press (CUP)","issue":"8","license":[{"start":{"date-parts":[[2014,4,28]],"date-time":"2014-04-28T00:00:00Z","timestamp":1398643200000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/2.zoppoz.workers.dev:443\/https\/www.cambridge.org\/core\/terms"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Robotica"],"published-print":{"date-parts":[[2015,10]]},"abstract":"<jats:title>SUMMARY<\/jats:title>\n\t  <jats:p>This paper proposes a new technique based on a Parameter-Optimal Iterative Learning Control (POILC) to track a command pitch rate of a high-speed supercavitating vehicle (HSSV). The pitch rate of a supercavitating vehicle has non-minimum phase behavior. Thus, tracking is fundamentally limited to poor performance. To solve this problem, a feed-forward control can be used while using the cavitator as a control input in the feed-forward path to modify the slow response caused by non-minimum phase behavior. The main idea of this paper is to apply the cavitator input with high precision as a feed-forward control to improve tracking performance. The exact value of the feed-forward control is achieved using POILC. However, in the presence of uncertainty, zero convergence of POILC algorithms is threatened. It will be shown that applying adaptive weight in the performance index, the convergence is guaranteed in the presence of uncertainty and also when the system is sign-indefinite. The proposed technique includes an optimal planning to make the error norm monotonically convergent to zero. The convergence and perfect tracking will be guaranteed through a Lyapunov candidate. Performance and significance of the proposed supercavitating vehicle control will be verified by simulation.<\/jats:p>","DOI":"10.1017\/s0263574714000629","type":"journal-article","created":{"date-parts":[[2014,4,28]],"date-time":"2014-04-28T12:46:53Z","timestamp":1398689213000},"page":"1653-1670","source":"Crossref","is-referenced-by-count":4,"title":["High-performance tracking of high-speed supercavitating vehicles with uncertain parameters using novel parameter-optimal iterative learning control"],"prefix":"10.1017","volume":"33","author":[{"given":"Meisam","family":"Yahyazadeh","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Abolfazl Ranjbar","family":"Noei","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"56","published-online":{"date-parts":[[2014,4,28]]},"reference":[{"key":"S0263574714000629_ref23","doi-asserted-by":"publisher","DOI":"10.1016\/j.automatica.2007.10.024"},{"key":"S0263574714000629_ref1","doi-asserted-by":"publisher","DOI":"10.5539\/mas.v5n2p204"},{"key":"S0263574714000629_ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.automatica.2010.10.048"},{"key":"S0263574714000629_ref21","unstructured":"H. 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Mach , \u201cToward Auto-Calibration of Navigation Sensors for Miniature Autonomous Underwater Vehicles,\u201d MSc Thesis, Virginia Polytechnic Institute and State, Blacksburg, VA (2003)."},{"key":"S0263574714000629_ref9","first-page":"1088","volume-title":"Proceedings of the 2002 IEEE International Conference on Robotics and Automation","author":"Kawamura","year":"2002"},{"key":"S0263574714000629_ref13","doi-asserted-by":"publisher","DOI":"10.1080\/0020717031000121410"},{"volume-title":"System Identification \u2013 Theory for the User","year":"1999","author":"Ljung","key":"S0263574714000629_ref24"},{"key":"S0263574714000629_ref6","first-page":"222","article-title":"Tracking control of mobile robot based on iterative learning control","volume":"48","author":"Jiufang","year":"2012","journal-title":"Comput. Eng. Appl."},{"key":"S0263574714000629_ref8","first-page":"967","volume-title":"Proceedings of the 6th International Conference on Trends in Welding Research","author":"Holm","year":"2002"},{"key":"S0263574714000629_ref4","unstructured":"B. Vanek , \u201cControl Methods for High-Speed Supercavitating Vehicles,\u201d Ph.D. Thesis, University of Minnesota (2008)."},{"key":"S0263574714000629_ref20","doi-asserted-by":"publisher","DOI":"10.1109\/JOE.2011.2177689"},{"key":"S0263574714000629_ref14","doi-asserted-by":"publisher","DOI":"10.2478\/v10006-008-0026-7"},{"key":"S0263574714000629_ref3","unstructured":"X. Mao , \u201cNonlinear Robust Control Design for A High-Speed Supercavitating Vehicle,\u201d Ph.D. Thesis, Mechanical Engineering Department, The Pennsylvania State University (2010)."},{"key":"S0263574714000629_ref16","doi-asserted-by":"publisher","DOI":"10.1016\/j.arcontrol.2005.01.003"},{"key":"S0263574714000629_ref11","first-page":"181","article-title":"Feedback-assisted iterative learning control for batch polymerization reactor","volume":"3174","author":"Li","year":"2004","journal-title":"Adv. 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