Kernel Approximation Approach to the L1 Optimal Sampled-Data Controller Synthesis Problem

Title
Kernel Approximation Approach to the L1 Optimal Sampled-Data Controller Synthesis Problem
Authors
김정훈Hagiwara, Tomomichi
Keywords
L1 optimal control; sampled-data systems; kernel approximation
Issue Date
2017-07
Publisher
20th World Congress of The International Federation of Automatic Control
Citation
-938
Abstract
This paper is concerned with a new framework called the kernel approximation approach to the L1 optimal controller synthesis problem of sampled-data systems. On the basis of the lifted representation of sampled-data systems, which contains an input operator and an output operator, this paper introduces a method for approximating the kernel function of the input operator and the hold function of the output operator by piecewise constant functions. Through such a method, the L1 optimal sampled-data controller synthesis problem could be (almost) equivalently converted into the discrete-time l1 optimal controller synthesis problem. This paper further establishes an important inequality that forms the theoretical validity of the kernel approximation approach for tackling the L1 optimal sampled-data controller synthesis problem.
URI
http://pubs.kist.re.kr/handle/201004/66807
Appears in Collections:
KIST Publication > Conference Paper
Files in This Item:
There are no files associated with this item.
Export
RIS (EndNote)
XLS (Excel)
XML


qrcode

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

BROWSE