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dc.contributor.authorDymkov, M.-
dc.contributor.authorRogers, E.-
dc.contributor.authorDymkou, S.-
dc.contributor.authorGalkowski, K.-
dc.date.accessioned2015-01-10T14:23:22Z-
dc.date.available2015-01-10T14:23:22Z-
dc.date.issued2008-
dc.identifier.citationConstrained Optimal Control Theory for Differential Linear Repetitive Processes / M. Dymkov, E. Rogers, S. Dymkou, K. Galkowski // SIAM Journal on Control and Optimization. – 2008. – Vol. 47, Iss. 1. – P. 396-420.ru_RU
dc.identifier.urihttp://edoc.bseu.by:8080/handle/edoc/13155-
dc.description.abstractDifferential repetitive processes are a distinct class of continuous-discrete twodimensional linear systems of b o th systems theoretic and applications interest. These processes complete a series of sweeps termed passes th rough a set of dynamics defined over a finite duration known as th e pass length, and once th e end is reached th e process is reset to its s ta rtin g position before th e next pass begins. Moreover th e o u tp u t or pass profile produced on each pass explicitly contributes to th e dynamics of th e next one. Applications are as include iterative learning control and iterative solution algorithms, for classes of dynamic nonlin ear optimal control problems based on th e maximum principle, and th e modeling of numerous industrial processes such as metal rolling, long-wall cutting, etc. In th is paper we develop su b stan tia l new results on optimal control of these processes in th e presence of constraints where th e cost function and constraints are motivated by practical application of iterative learning control to robotic manipulators and o th er electromechanical systems. The analysis is based on generalizing th e well-known maximum and e-maximum principles to them.ru_RU
dc.languageАнглийский-
dc.language.isoen-
dc.subjectTwo-dimensional systemsru_RU
dc.subjectOptimal controlru_RU
dc.subjectconstraintsru_RU
dc.titleConstrained Optimal Control Theory for Differential Linear Repetitive Processesru_RU
dc.typeArticle-
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