Magnetization normal oscillation modes in saturated ferromagnetic nanoparticles

2008 ◽  
Vol 403 (2-3) ◽  
pp. 242-244 ◽  
Author(s):  
M. d’Aquino ◽  
C. Serpico ◽  
G. Miano ◽  
G. Bertotti ◽  
I.D. Mayergoyz
Keyword(s):  
Ferromagnetic Nanoparticles ◽  
Normal Oscillation ◽  
Oscillation Modes

Normal oscillation modes of a conjugate resonator with an array-type controlled transparency

1988 ◽  
Vol 18 (1) ◽  
pp. 114-115
Author(s):  
I B Vitrishchak ◽  
S Yu Orlov ◽  
V P Pokrovskiĭ ◽  
L N Soms
Keyword(s):  
Array Type ◽  
Normal Oscillation ◽  
Oscillation Modes

PROTEINS AND RANDOM HETEROPOLYMERS: AN OVERVIEW

1992 ◽  
Vol 03 (supp01) ◽  
pp. 201-207
Author(s):  
GIULIA IORI
Keyword(s):  
Protein Folding ◽  
External Perturbation ◽  
Experimental Results ◽  
Stable Configuration ◽  
Zero Temperature ◽  
Normal Oscillation ◽  
Oscillation Modes ◽  
Conformational Properties

We present a brief review of the main analytical and experimental results on the problem of protein folding. We will then discuss the conformational properties of the IMP model for an heteropolymeric chain at low and zero temperature. Finally we will analyze the dynamical relaxation of this system subject to the action of an external perturbation and we will discuss the localization of the normal oscillation modes around one stable configuration.

Collective effects in artificial two-dimensional lattices of ferromagnetic nanoparticles

2000 ◽  
Vol 170 (3) ◽  
pp. 331 ◽  
Author(s):  
S.A. Gusev ◽  
Yu.N. Nozdrin ◽  
M.V. Sapozhnikov ◽  
A.A. Fraerman
Keyword(s):  
Collective Effects ◽  
Ferromagnetic Nanoparticles ◽  
Two Dimensional

Application of partial eigenvalue assignment techniques to dampen electromechanical oscillations in multi-machine power systems

2020 ◽  
Vol 0 (0) ◽  
Author(s):  
Erick Baleeiro da Silva ◽  
José Mário Araújo
Keyword(s):  
Power Systems ◽  
The Other ◽  
Mode Shapes ◽  
Eigenstructure Assignment ◽  
Power System Stabilizers ◽  
Control Effort ◽  
Electromechanical Oscillations ◽  
Oscillation Modes ◽  
Partial Controllability

AbstractIn this study, a methodology for partial eigenstructure assignment (PEVA) is applied to dampen electromechanical oscillations in electrical multi-machine power systems. The approach is anchored in allocating a small number of undesirable eigenvalues, for example, which are poorly damped, preserving the other eigenvalues in the system - the so-called no-spillover spectrum. The new position of the selected eigenvalues is carried out based on the partial controllability analysis of the system, in order to minimize the control effort. Simulation examples using a system with 68 buses, 16 generators and five areas showed that the presented methodology is efficient in dampening the local and inter-area oscillation modes when compared to the classic power system stabilizers (PSS). The quality of the solution is illustrated through computer simulations, eigenvalues tables and mode-shapes.

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