Intelligent Methods for State Estimation and Parameter Identification in Fuzzy Dynamical Systems

Author(s):  
Sergey Kovalev ◽  
Sergey Sokolov ◽  
Alexander Shabelnikov
2005 ◽  
Vol 23 (4) ◽  
pp. 1137-1151 ◽  
Author(s):  
V. Sree Hari Rao ◽  
Narri Yadaiah

Entropy ◽  
2018 ◽  
Vol 21 (1) ◽  
pp. 7 ◽  
Author(s):  
Christoph Kawan

In the context of state estimation under communication constraints, several notions of dynamical entropy play a fundamental role, among them: topological entropy and restoration entropy. In this paper, we present a theorem that demonstrates that for most dynamical systems, restoration entropy strictly exceeds topological entropy. This implies that robust estimation policies in general require a higher rate of data transmission than non-robust ones. The proof of our theorem is quite short, but uses sophisticated tools from the theory of smooth dynamical systems.


Automatica ◽  
2015 ◽  
Vol 62 ◽  
pp. 139-147 ◽  
Author(s):  
Héctor Ríos ◽  
Diego Mincarelli ◽  
Denis Efimov ◽  
Wilfrid Perruquetti ◽  
Jorge Davila

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