×
Well done. You've clicked the tower. This would actually achieve something if you had logged in first. Use the key for that. The name takes you home. This is where all the applicables sit. And you can't apply any changes to my site unless you are logged in.

Our policy is best summarized as "we don't care about _you_, we care about _them_", no emails, so no forgetting your password. You have no rights. It's like you don't even exist. If you publish material, I reserve the right to remove it, or use it myself.

Don't impersonate. Don't name someone involuntarily. You can lose everything if you cross the line, and no, I won't cancel your automatic payments first, so you'll have to do it the hard way. See how serious this sounds? That's how serious you're meant to take these.

×
Register


Required. 150 characters or fewer. Letters, digits and @/./+/-/_ only.
  • Your password can’t be too similar to your other personal information.
  • Your password must contain at least 8 characters.
  • Your password can’t be a commonly used password.
  • Your password can’t be entirely numeric.
Enter the same password as before, for verification.
Login

Grow A Dic
Define A Word
Make Space
Set Task
Mark Post
Apply Votestyle
Create Votes
(From: saved spaces)
Exclude Votes
Apply Dic
Exclude Dic

New Less Conservative Control Design Conditions for T-S Fuzzy Systems: Relaxed Parameterized Linear Matrix Inequality in the Form of Double Sum. (arXiv:2109.09088v2 [eess.SY] UPDATED)

Click here to flash read.

The aim of this study is to investigate less conservative conditions for a
parameterized linear matrix inequality (PLMI) expressed in the form of double
convex sum. This type of PLMI appears frequently in nonlinear T-S fuzzy control
analysis and synthesis problems. In this paper, we derive sufficient linear
matrix inequalities (LMIs) for the PLMI without using any slack variables, by
employing the proposed sum relaxation based on Young's inequality. The derived
LMIs are proven to be less conservative than those presented in [1]. The
proposed technique is applicable to various control design problems for T-S
fuzzy systems represented in PLMIs that take the form of double convex sum.
Furthermore, an example is provided to illustrate the reduced conservatism of
the derived LMIs.

Click here to read this post out
ID: 66024; Unique Viewers: 0
Unique Voters: 0
Total Votes: 0
Votes:
Latest Change: April 16, 2023, 7:34 a.m. Changes:
/u/anonymous
Dictionaries:
Words:
Spaces:
Views: 9
CC:
No creative common's license
Comments: