Stabilization of Fuzzy Retarded Systems with Input and State Delays
碩士 === 國立中央大學 === 機械工程研究所 === 97 === In this study, a stabilization problem for continuous-time fuzzy systems subject to multiple time-varying delays in both state and input variables is addressed. The main objective is to design a stablilizing controller that stabilizes the aforementioned delay sys...
Main Authors: | , |
---|---|
Other Authors: | |
Format: | Others |
Language: | zh-TW |
Published: |
2009
|
Online Access: | http://ndltd.ncl.edu.tw/handle/30674616539970413002 |
id |
ndltd-TW-097NCU05489035 |
---|---|
record_format |
oai_dc |
spelling |
ndltd-TW-097NCU054890352016-05-02T04:10:57Z http://ndltd.ncl.edu.tw/handle/30674616539970413002 Stabilization of Fuzzy Retarded Systems with Input and State Delays 具輸入及狀態延遲之模糊系統控制 Yuchi Wang 王毓淇 碩士 國立中央大學 機械工程研究所 97 In this study, a stabilization problem for continuous-time fuzzy systems subject to multiple time-varying delays in both state and input variables is addressed. The main objective is to design a stablilizing controller that stabilizes the aforementioned delay system. Based on Lyapunov-Krasovskii functional and P''olya theorem, sufficient stabilization conditions are stated in terms of LMIs. Therefore, stabilizing controllers can be obtained easily with existing convex algorithms. Unlike existing methods, polynomial theory is used to deal with input-delay term since this delay term introduces an additional summation after defuzzification. Lastly, three examples are given to illustrate the advantages of the proposed machinery, yielding more relaxations when compared to existing methods. none 羅吉昌 2009 學位論文 ; thesis 70 zh-TW |
collection |
NDLTD |
language |
zh-TW |
format |
Others
|
sources |
NDLTD |
description |
碩士 === 國立中央大學 === 機械工程研究所 === 97 === In this study, a stabilization problem for continuous-time fuzzy systems
subject to multiple time-varying delays in both state and input variables is addressed.
The main objective is to design a stablilizing controller that stabilizes the aforementioned delay system.
Based on Lyapunov-Krasovskii functional and P''olya theorem, sufficient stabilization conditions are stated in terms of
LMIs. Therefore, stabilizing controllers can be obtained easily with existing convex algorithms. Unlike existing methods,
polynomial theory is used to deal with input-delay term since this delay term introduces
an additional summation after defuzzification.
Lastly, three examples are given to illustrate
the advantages of the proposed machinery, yielding more relaxations when compared to existing methods.
|
author2 |
none |
author_facet |
none Yuchi Wang 王毓淇 |
author |
Yuchi Wang 王毓淇 |
spellingShingle |
Yuchi Wang 王毓淇 Stabilization of Fuzzy Retarded Systems with Input and State Delays |
author_sort |
Yuchi Wang |
title |
Stabilization of Fuzzy Retarded Systems with Input and State Delays |
title_short |
Stabilization of Fuzzy Retarded Systems with Input and State Delays |
title_full |
Stabilization of Fuzzy Retarded Systems with Input and State Delays |
title_fullStr |
Stabilization of Fuzzy Retarded Systems with Input and State Delays |
title_full_unstemmed |
Stabilization of Fuzzy Retarded Systems with Input and State Delays |
title_sort |
stabilization of fuzzy retarded systems with input and state delays |
publishDate |
2009 |
url |
http://ndltd.ncl.edu.tw/handle/30674616539970413002 |
work_keys_str_mv |
AT yuchiwang stabilizationoffuzzyretardedsystemswithinputandstatedelays AT wángyùqí stabilizationoffuzzyretardedsystemswithinputandstatedelays AT yuchiwang jùshūrùjízhuàngtàiyánchízhīmóhúxìtǒngkòngzhì AT wángyùqí jùshūrùjízhuàngtàiyánchízhīmóhúxìtǒngkòngzhì |
_version_ |
1718253035181834240 |