Skip to main navigation
Skip to search
Skip to main content
Korea University Pure Home
Home
Profiles
Research units
Equipment
Research output
Press/Media
Search by expertise, name or affiliation
Model predictive stabilizer for T-S fuzzy recurrent multilayer neural network models with general terminal weighting matrix
Choon Ki Ahn
,
Myo Taeg Lim
Research output
:
Contribution to journal
›
Article
›
peer-review
14
Citations (Scopus)
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'Model predictive stabilizer for T-S fuzzy recurrent multilayer neural network models with general terminal weighting matrix'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Keyphrases
Stabilizer
100%
Predictive Models
100%
Weight Matrix
100%
Neural Network Model
100%
Takagi-Sugeno Fuzzy
100%
Multilayer Neural Network
100%
Cost Function
50%
Receding Horizon
50%
Numerical Examples
25%
Linear Matrix Inequality
25%
Asymptotically Stable
25%
Stabilization Schemes
25%
Stabilization Problem
25%
Engineering
Cost Function
100%
Stabilizer
100%
Network Model
100%
Recurrent
100%
Numerical Example
50%
Illustrates
50%
Stabilization Problem
50%
Computer Science
Predictive Model
100%
Neural Network Model
100%
Neural Network
66%
Numerical Example
33%
linear matrix
33%
Chemical Engineering
Multilayer Neural Networks
100%