Coincidence between linear and global nonlinear stability of non-constant throughflows via the Rionero “Auxiliary System Method”

Meccanica ◽  
2014 ◽  
Author(s):  
Florinda Capone ◽  
Roberta De Luca
Keyword(s):  
Nonlinear Stability ◽  
Auxiliary System ◽  
System Method ◽  
Auxiliary System Method

Partial synchronization in the second-order Kuramoto model: An auxiliary system method

2021 ◽  
Vol 31 (11) ◽  
pp. 113113
Author(s):  
Nikita V. Barabash ◽  
Vladimir N. Belykh ◽  
Grigory V. Osipov ◽  
Igor V. Belykh
Keyword(s):  
Second Order ◽  
Kuramoto Model ◽  
Auxiliary System ◽  
Partial Synchronization ◽  
System Method ◽  
Auxiliary System Method

scholarly journals Generalized Outer Synchronization between Complex Networks with Unknown Parameters

2013 ◽  
Vol 2013 ◽  
pp. 1-9 ◽  
Author(s):  
Di Ning ◽  
Xiaoqun Wu ◽  
Jun-an Lu ◽  
Hui Feng
Keyword(s):  
Complex Networks ◽  
Real World ◽  
Sufficient Criterion ◽  
Unknown Parameters ◽  
Outer Synchronization ◽  
Functional Relations ◽  
System Method ◽  
Barbalat’S Lemma ◽  
Auxiliary System Method ◽  
Theoretical Results

As is well known, complex networks are ubiquitous in the real world. One network always behaves differently from but still coexists in balance with others. This phenomenon of harmonious coexistence between different networks can be termed as “generalized outer synchronization (GOS).” This paper investigates GOS between two different complex dynamical networks with unknown parameters according to two different methods. When the exact functional relations between the two networks are previously known, a sufficient criterion for GOS is derived based on Barbalat's lemma. If the functional relations are not known, the auxiliary-system method is employed and a sufficient criterion for GOS is derived. Numerical simulations are further provided to demonstrate the feasibility and effectiveness of the theoretical results.

HUBUNGAN KEPADATAN BIVALVIA DENGAN PARAMETER LINGKUNGAN DI PESISIR TANJUNG PURA KABUPATEN BANGKA TENGAH

2020 ◽  
Vol 13 (2) ◽  
pp. 112-121
Author(s):  
Sudiyar . ◽  
Okto Supratman ◽  
Indra Ambalika Syari
Keyword(s):  
Negative Impact ◽  
Principal Component ◽  
Environmental Parameters ◽  
Data Retrieval ◽  
Distribution Patterns ◽  
Random System ◽  
System Method ◽  
Relationship Of ◽  
The Relationship ◽  
Anadara Granosa

The destructive fishing feared will give a negative impact on the survival of this organism. This study aims to analyze the density of bivalves, distribution patterns, and to analyze the relationship of bivalves with environmental parameters in Tanjung Pura village. This research was conducted in March 2019. The systematic random system method was used for collecting data of bivalves. The collecting Data retrieval divided into five research stasions. The results obtained 6 types of bivalves from 3 families and the total is 115 individuals. The highest bivalve density is 4.56 ind / m², and the lowest bivalves are located at station 2,1.56 ind / m²,  The pattern of bivalve distribution in the Coastal of Tanjung Pura Village is grouping. The results of principal component analysis (PCA) showed that Anadara granosa species was positively correlated with TSS r = 0.890, Dosinia contusa, Anomalocardia squamosa, Mererix meretrix, Placamen isabellina, and Tellinella spengleri were positively correlated with currents r = 0.933.

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