scholarly journals Interaction Network, State Space, and Control in Social Dynamics

2017 ◽  
pp. 99-140 ◽  
Author(s):  
Aylin Aydoğdu ◽  
Marco Caponigro ◽  
Sean McQuade ◽  
Benedetto Piccoli ◽  
Nastassia Pouradier Duteil ◽  
...  
Keyword(s):  
State Space ◽  
Social Dynamics ◽  
Interaction Network ◽  
Network State ◽  
And Control

Scham und Autonomie

2012 ◽  
Vol 2012 (1) ◽  
pp. 163-192
Author(s):  
Sonja Rinofner-Kreidl
Keyword(s):  
Decision Making ◽  
Social Dynamics ◽  
Self Esteem ◽  
Self Determination ◽  
Intentional Content ◽  
Conceptual Clarification ◽  
The Social ◽  
Conventional Behavior ◽  
And Control

Autonomy is associated with intellectual self-preservation and self-determination. Shame, on the contrary, bears a loss of approval, self-esteem and control. Being afflicted with shame, we suffer from social dependencies that by no means have been freely chosen. Moreover, undergoing various experiences of shame, our power of reflection turns out to be severly limited owing to emotional embarrassment. In both ways, shame seems to be bound to heteronomy. This situation strongly calls for conceptual clarification. For this purpose, we introduce a threestage model of self-determination which comprises i) autonomy as capability of decision-making relating to given sets of choices, ii) self-commitment in terms of setting and harmonizing goals, and iii) self-realization in compliance with some range of persistently approved goals. Accordingly, the presuppositions and distinctive marks of shame-experiences are made explicit. Within this framework, we explore the intricate relation between autonomy and shame by focusing on two questions: on what conditions could conventional behavior be considered as self-determined? How should one characterize the varying roles of actors that are involved in typical cases of shame-experiences? In this connection, we advance the thesis that the social dynamics of shame turns into ambiguous positions relating to motivation, intentional content,and actors’ roles.

Switched Reluctance Motor for Electric Submersible Pump

2021 ◽  
Vol 1 (2) ◽  
Author(s):  
Robert Adams ◽  
Jinjiang Xiao ◽  
Michael Cross ◽  
Max Deffenbaugh
Keyword(s):  
State Space ◽  
Performance Feedback ◽  
Motor System ◽  
Reverse Direction ◽  
Submersible Pump ◽  
Pump System ◽  
Switched Reluctance ◽  
Precise Control ◽  
And Control ◽  
Electric Submersible Pump

Switched reluctance motors may be advantageous when used as the primary motor for an electric submersible pump system.  They are less susceptible to jamming failures due to their high starting torque and ability to reverse direction.  Driving these motors requires well-timed pulse waveforms and precise control of the motor based on its rotational position.  In general, voltage-based sensing and control systems at the surface see highly unpredictable waveforms with excessive ringing behaviour due to the impedance characteristics of the long cabling between the surface controller and the downhole motor system.  In this work, a system is detailed which monitors the current waveforms on the motor coil excitation conductors at the surface as a source of motor performance feedback and control.  State-space modelling of the system shows stable current waveforms at the surface controller for both short and long interconnect cable systems.  A laboratory demonstration of the surface controller, interconnect cabling, and motor system is shows excellent agreement with the current and voltage waveforms predicted by the state-space system model.

scholarly journals Dynamical Models for Computer Viruses Propagation

2008 ◽  
Vol 2008 ◽  
pp. 1-11 ◽  
Author(s):  
José R. C. Piqueira ◽  
Felipe Barbosa Cesar
Keyword(s):  
Network Management ◽  
The Internet ◽  
Previous Knowledge ◽  
Dynamical Models ◽  
Virus Propagation ◽  
Computer Viruses ◽  
Sources Of Uncertainty ◽  
Network State ◽  
Identification Techniques ◽  
And Control

Nowadays, digital computer systems and networks are the main engineering tools, being used in planning, design, operation, and control of all sizes of building, transportation, machinery, business, and life maintaining devices. Consequently, computer viruses became one of the most important sources of uncertainty, contributing to decrease the reliability of vital activities. A lot of antivirus programs have been developed, but they are limited to detecting and removing infections, based on previous knowledge of the virus code. In spite of having good adaptation capability, these programs work just as vaccines against diseases and are not able to prevent new infections based on the network state. Here, a trial on modeling computer viruses propagation dynamics relates it to other notable events occurring in the network permitting to establish preventive policies in the network management. Data from three different viruses are collected in the Internet and two different identification techniques, autoregressive and Fourier analyses, are applied showing that it is possible to forecast the dynamics of a new virus propagation by using the data collected from other viruses that formerly infected the network.

scholarly journals A state-space model and control of a full-range PMSG wind turbine for real-time simulations

2018 ◽  
Vol 100 (4) ◽  
pp. 2177-2191 ◽  
Author(s):  
Agustín Tobías-González ◽  
Rafael Peña-Gallardo ◽  
Jorge Morales-Saldaña ◽  
Aurelio Medina-Ríos ◽  
Olimpo Anaya-Lara
Keyword(s):  
Wind Turbine ◽  
State Space ◽  
Real Time ◽  
Full Range ◽  
State Space Model ◽  
Space Model ◽  
And Control ◽  
Real Time Simulations

State-space neural network for modelling, prediction and control

2000 ◽  
Vol 8 (9) ◽  
pp. 1063-1075 ◽  
Author(s):  
J.M Zamarreño ◽  
P Vega ◽  
L.D Garcı́a ◽  
M Francisco
Keyword(s):  
Neural Network ◽  
State Space ◽  
Prediction And Control ◽  
And Control
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