A new approach to feedback feed-forward iterative learning control with random packet dropouts
Xuanxuan Shi and
Mouquan Shen
Applied Mathematics and Computation, 2019, vol. 348, issue C, 399-412
Abstract:
This paper is devoted to the feedback feed-forward iterative learning control (FFILC) with random packet dropouts. Resorting to a 2D Roesser system manner, the resultant FFILC falls in the robust framework. With the help of Lyapunov method and stochastic analysis technique, a new condition is developed to guarantee the desired mean-square stability with the prescribed H∞ performance. To co-design controller and learning parameters by means of linear matrix inequalities, an effective strategy is employed to overcome the coupling nonlinearities induced by these parameters and Lypunov variable. An injection modeling process is adopted to show the effectiveness of the proposed method.
Keywords: Robust control; Packet dropout; Linear matrix inequality; Iterative learning control (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S009630031831035X
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:apmaco:v:348:y:2019:i:c:p:399-412
DOI: 10.1016/j.amc.2018.11.061
Access Statistics for this article
Applied Mathematics and Computation is currently edited by Theodore Simos
More articles in Applied Mathematics and Computation from Elsevier
Bibliographic data for series maintained by Catherine Liu ().