PMID- 31105514
OWN - NLM
STAT- PubMed-not-MEDLINE
LR  - 20201001
IS  - 1662-4548 (Print)
IS  - 1662-453X (Electronic)
IS  - 1662-453X (Linking)
VI  - 13
DP  - 2019
TI  - Quantized Sampled-Data Control for T-S Fuzzy System Using Discontinuous LKF 
      Approach.
PG  - 372
LID - 10.3389/fnins.2019.00372 [doi]
LID - 372
AB  - In this study, the stability for a class of sampled-data Takagi-Sugeno (T-S) 
      fuzzy systems with state quantization was investigated. Using the discontinuous 
      Lyapunov-Krasoskii functional (LKF) approach and the free-matrix-based integral 
      inequality bounds processing technique, a stability condition with less 
      conservativeness has been obtained, and the controller of the sampled-data T-S 
      fuzzy system with the quantized state has been designed. Furthermore, based on 
      the results, the sampled-data T-S fuzzy system without the state quantization was 
      also discussed, and the required controller constructed. The results of two 
      simulation examples show that both the maximum sampling intervals, with and 
      without the quantized state for T-S fuzzy systems, are actually superior to the 
      existing results.
FAU - Wang, Shenquan
AU  - Wang S
AD  - College of Electrical and Electronic Engineering Changchun University of 
      Technology, Changchun, China.
FAU - Chen, Shuaiqi
AU  - Chen S
AD  - College of Electrical and Electronic Engineering Changchun University of 
      Technology, Changchun, China.
FAU - Ji, Wenchengyu
AU  - Ji W
AD  - College of Electrical and Electronic Engineering Changchun University of 
      Technology, Changchun, China.
FAU - Liu, Keping
AU  - Liu K
AD  - College of Electrical and Electronic Engineering Changchun University of 
      Technology, Changchun, China.
LA  - eng
PT  - Journal Article
DEP - 20190424
PL  - Switzerland
TA  - Front Neurosci
JT  - Frontiers in neuroscience
JID - 101478481
PMC - PMC6499169
OTO - NOTNLM
OT  - T-S fuzzy systems
OT  - discontinuous LKF approach
OT  - quantization
OT  - sampled-data system
OT  - stabilization
EDAT- 2019/05/21 06:00
MHDA- 2019/05/21 06:01
PMCR- 2019/01/01
CRDT- 2019/05/21 06:00
PHST- 2019/01/20 00:00 [received]
PHST- 2019/04/01 00:00 [accepted]
PHST- 2019/05/21 06:00 [entrez]
PHST- 2019/05/21 06:00 [pubmed]
PHST- 2019/05/21 06:01 [medline]
PHST- 2019/01/01 00:00 [pmc-release]
AID - 10.3389/fnins.2019.00372 [doi]
PST - epublish
SO  - Front Neurosci. 2019 Apr 24;13:372. doi: 10.3389/fnins.2019.00372. eCollection 
      2019.