Fuzzy State-Space Modeling and Robust Observer-Based Control Design for Nonlinear Partial Differential Systems

2021 ◽  
pp. 229-269
Author(s):  
Bor-Sen Chen
1997 ◽  
Author(s):  
Zhongyang Guo ◽  
Itsuro Kajiwara ◽  
Akio Nagamatsu ◽  
Tsutomu Sonehara

1997 ◽  
Vol 40 (2) ◽  
pp. 197-202
Author(s):  
Itsuro KAJIWARA ◽  
Zhongyang GUO ◽  
Akio NAGAMATSU

1997 ◽  
Author(s):  
Zhongyang Guo ◽  
I. Kajiwara ◽  
A. Nagamatsu ◽  
Zhongyang Guo ◽  
I. Kajiwara ◽  
...  

2017 ◽  
Vol 13 (4) ◽  
pp. 711-716 ◽  
Author(s):  
Jibril Aminu ◽  
Tahir Ahmad ◽  
Surajo Sulaiman

The complexity of a system of Fuzzy State Space Modeling (FSSM) is the reason that leads to the main objective of this research. A multi-connected system of Fuzzy State Space Model is made up of several components, each of which performs a function. These components are interconnected in some manner and determine how the overall system operates. In this study, we study the concept of graph, network system and network projections which are the requisite knowledge to potential method. Finally, the multi-connected system of FSSM of type A namely feeder, common feeder and greatest common feeder are transformed into potential method using various method of transformation.


Sign in / Sign up

Export Citation Format

Share Document