Digital Image Stabilization Using a Functional Neural Fuzzy Network

L2-L∞ Filtering for Takagi–Sugeno fuzzy neural networks based on Wirtinger-type inequalities

“…However, these results were restricted to stability analysis. In [46], a robust digital video stabilization method based on a functional neural fuzzy network was studied and this result can also be integrated with our results. In [45], the dissipative filter design method was introduced for discrete-time T-S fuzzy time-delay systems, but their work does not deal with the filtering problem based on L 2 -L 1 performance.…”

“…Our research can be combined with existing results [44][45][46][47] to produce new results. The result in this paper focuses on the L 2 -L 1 filter for T-S fuzzy Hopfield neural networks.…”

Command Filtered Adaptive Fuzzy Neural Network Backstepping Control for Marine Power System

“…. , ] ∈ R to a scalar output variable ∈ R. The th fuzzy IF-THEN rule can be characterized by the following form [20,21]:…”

“…However, fuzzy logic and neural networks have complementary characteristics. Thus, the development of integrated fuzzy neural networks (FNNs) that possess the merits of both fuzzy logic and neural networks has grown rapidly [21][22][23][24].…”

Νέες Τεχνικές Χάραξης Πορείας Ρομπότ Και Ρομποτικής Όρασης

“…τη μέθοδο (Hsu et al 2005) ολόκληρες οι εικόνες διαχωρίζονται σε τέσσερις περιοχές από τις οποίες και προκύπτουν τα διανύσματα κίνησης ενώ ο προσδιορισμός των κινήσεων υπολογίζεται με τη μέθοδο αντιστρόφου τριγώνου και με την ανίχνευση του παρασκηνίου. Με παρόμοια τεχνική υπολογίζονται τα διανύσματα κίνησης και στη (Wu et al 2012) ενώ ο διαχωρισμός των κινήσεων επιτυγχάνεται με ένα νευρωνικό δίκτυο ασαφούς λογικής.…”