On achieving L p (ℓp) performance with global internal stability for linear plants with saturating actuators

2007 ◽  
pp. 271-286 ◽  
Author(s):  
Anton A. Stoorvogel ◽  
Ali Saberi ◽  
Guoyong Shi
Keyword(s):  
Internal Stability ◽  
Saturating Actuators

The internal stability of an elastic solid

2000 ◽  
Vol 80 (12) ◽  
pp. 2827-2840 ◽  
Author(s):  
J. W. Morris Jr, C. R. K Renn
Keyword(s):  
Elastic Solid ◽  
Internal Stability

State Formation in Korea and Japan, 400–800 CE: Emulation and Learning, Not Bellicist Competition

2021 ◽  
pp. 1-31
Author(s):  
Chin-Hao Huang ◽  
David C. Kang
Keyword(s):  
Power System ◽  
Public Goods ◽  
East Asia ◽  
State Formation ◽  
Balance Of Power ◽  
Internal Stability ◽  
State Institutions ◽  
Bureaucratic Control ◽  
Administrative Capacity ◽  
Competition State

Abstract State formation occurred in Korea and Japan 1,000 years before it did in Europe, and it occurred for reasons of emulation and learning, not bellicist competition. State formation in historical East Asia occurred under a hegemonic system in which war was relatively rare, not under a balance-of-power system with regular existential threats. Korea and Japan emerged as states between the fifth and ninth centuries CE and existed for centuries thereafter with centralized bureaucratic control defined over territory and administrative capacity to tax their populations, field large militaries, and provide extensive public goods. They created these institutions not to wage war or suppress revolt: the longevity of dynasties in these countries is evidence of both the peacefulness of their region and their internal stability. Rather, Korea and Japan developed state institutions through emulation and learning from China. The elites of both copied Chinese civilization for reasons of prestige and domestic legitimacy in the competition between the court and the nobility.

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.

Stabilization of Linear Discrete Time Delay Systems with Additive Disturbance and Saturating Actuators

2000 ◽  
Vol 33 (14) ◽  
pp. 261-266
Author(s):  
Sophie Tarbouriech ◽  
Germain Garcia ◽  
Pedro L.D. Peres ◽  
Isabelle Queinnec
Keyword(s):  
Time Delay ◽  
Discrete Time ◽  
Delay Systems ◽  
Time Delay Systems ◽  
Saturating Actuators ◽  
Discrete Time Delay

Prediction of Internal Stability for Geogrid-Reinforced Segmental Walls

2010 ◽  
Vol 163-167 ◽  
pp. 1854-1857
Author(s):  
Anuar Kasa ◽  
Zamri Chik ◽  
Taha Mohd Raihan
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Mathematical Models ◽  
Statistical Methods ◽  
Retaining Wall ◽  
Retaining Walls ◽  
Internal Stability ◽  
Residual Soil ◽  
Concrete Masonry ◽  
Artificial Neural

Prediction of internal stability for segmental retaining walls reinforced with geogrid and backfilled with residual soil was carried out using statistical methods and artificial neural networks (ANN). Prediction was based on data obtained from 234 segmental retaining wall designs using procedures developed by the National Concrete Masonry Association (NCMA). The study showed that prediction made using ANN was generally more accurate to the target compared with statistical methods using mathematical models of linear, pure quadratic, full quadratic and interactions.

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