Print Email Facebook Twitter Recursive nuclear norm based subspace identification Title Recursive nuclear norm based subspace identification Author Telsang, B. (Student TU Delft) Navalkar, S.T. (TU Delft Team Raf Van de Plas) van Wingerden, J.W. (TU Delft Team Jan-Willem van Wingerden) Contributor Dochain, Denis (editor) Henrion, Didier (editor) Peaucelle, Dimitri (editor) Date 2017 Abstract Nuclear norm based subspace identification methods have recently gained importance due to their ability to find low rank solutions while maintaining accuracy through convex optimization. However, their heavy computational burden typically precludes the use in an online, recursive manner, such as may be required for adaptive control. This paper deals with the formulation of a recursive version of a nuclear norm based subspace identification method with an emphasis on reducing the computational complexity. The developed methodology is analyzed through simulations on Linear Time-Varying (LTV) systems particularly in terms of convergence rate, tracking speed and the accuracy of identification and it is shown to be computationally lighter and effective for such systems, with the considered rate of change of dynamics. Subject ADMMInitial conditionNuclear normRecursive subspace identificationStopping criteriaWarm-start To reference this document use: http://resolver.tudelft.nl/uuid:26e57da0-3a0a-4d96-81c2-8aa642b2980c DOI https://doi.org/10.1016/j.ifacol.2017.08.1585 Publisher Elsevier, Laxenburg, Austria Source IFAC-PapersOnLine: Proceedings 20th IFAC World Congress, 50-1 Event 20th World Congress of the International Federation of Automatic Control (IFAC), 2017, 2017-07-09 → 2017-07-14, Toulouse, France Series IFAC-PapersOnLine, 50 (1) Part of collection Institutional Repository Document type conference paper Rights © 2017 B. Telsang, S.T. Navalkar, J.W. van Wingerden Files PDF 1_s2.0_S2405896317321821_main.pdf 772.74 KB Close viewer /islandora/object/uuid:26e57da0-3a0a-4d96-81c2-8aa642b2980c/datastream/OBJ/view