scholarly journals Reduced order modelling in searches for continuous gravitational waves – I. Barycentring time delays

2018 ◽  
Vol 476 (4) ◽  
pp. 4510-4519 ◽  
Author(s):  
M Pitkin ◽  
S Doolan ◽  
L McMenamin ◽  
K Wette
Keyword(s):  
Gravitational Waves ◽  
Time Delays ◽  
Reduced Order ◽  
Reduced Order Modelling

Pilot-Induced Oscillations Prevention Using Anti-Windup Compensation in the Presence of Time-Delay

2013 ◽  
Vol 325-326 ◽  
pp. 1262-1266
Author(s):  
Valentin Pană
Keyword(s):  
Control System ◽  
Time Delays ◽  
Design Technique ◽  
Comparative Result ◽  
H Infinity ◽  
Reduced Order ◽  
Saturating Actuators ◽  
Time Simulation ◽  
Compensator Design ◽  
Optimization Methodology

The paper presents a compensator design technique for systems with saturating actuators in order to recover as much as possible the performance of the unsaturated case. This anti-windup scheme is obtained using H-infinity optimization methodology. The proposed design approach allows to obtain a anti-windup controller that accounts for time-delays in the control system. Comparative result are presented for the two design methods and time simulation of the nonlinear system are used to analyze the performances of both designs. A reduced order anti-windup controller procedure is also investigated. Keywords: PIO, anti-windup, rate saturation, compensator.

scholarly journals Model reduction methods based on Krylov subspaces

Acta Numerica ◽  
2003 ◽  
Vol 12 ◽  
pp. 267-319 ◽  
Author(s):  
Roland W. Freund
Keyword(s):  
Large Scale ◽  
Krylov Subspace ◽  
Circuit Simulation ◽  
Krylov Subspaces ◽  
Lanczos Algorithm ◽  
Linear Dynamical Systems ◽  
Reduced Order ◽  
Reduced Order Modelling ◽  
Reduction Methods ◽  
Modelling Techniques

In recent years, reduced-order modelling techniques based on Krylov-subspace iterations, especially the Lanczos algorithm and the Arnoldi process, have become popular tools for tackling the large-scale time-invariant linear dynamical systems that arise in the simulation of electronic circuits. This paper reviews the main ideas of reduced-order modelling techniques based on Krylov subspaces and describes some applications of reduced-order modelling in circuit simulation.

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