Matrix function optimization under weighted boundary constraints and its applications in network control
The matrix function optimization under weighted boundary constraints on the matrix variables is investigated in this work. An "index-notation-arrangement based chain rule" (I-Chain rule) is introduced to obtain the gradient of a matrix function. By doing this, we propose the weighted trace...
Saved in:
Main Authors: | Tang, Pei, Li, Guoqi, Ma, Chen, Wang, Ran, Xiao, Gaoxi, Shi, Luping |
---|---|
Other Authors: | School of Electrical and Electronic Engineering |
Format: | Article |
Language: | English |
Published: |
2020
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/142715 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Optimization on matrix manifold based on gradient information and its applications in network control
by: Li, Guoqi, et al.
Published: (2020) -
A constraint optimization problem in singular control theory: Where is the nearest non-index-at-most-one matrix pencil?
by: Chu, D.
Published: (2014) -
Semismooth matrix-valued functions
by: Sun, D., et al.
Published: (2013) -
Evaluating matrix functions by resummations on graphs: The method of path-sums
by: Giscard, P.-L., et al.
Published: (2014) -
Controlling directed networks with evolving topologies
by: Li, Guoqi, et al.
Published: (2021)