Closed-Loop Control of Complex Networks: A Trade-Off between Time and Energy

<div>A method to assess the performance of closed loop control loops, based on closed-loop system identification. This method allows to take into account the trade-off between process variable and manipulated variable energy, thus overcoming one of the most important criticisms to Harris' index. </div>

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Closed-loop control of nonlinear neural networks: The estimate of control time and energy cost

Neural Networks ◽

10.1016/j.neunet.2019.05.016 ◽

2019 ◽

Vol 117 ◽

pp. 145-151 ◽

Cited By ~ 4

Author(s):

Chongyang Chen ◽

Song Zhu ◽

Yongchang Wei

Keyword(s):

Neural Networks ◽

Energy Cost ◽

Closed Loop ◽

Closed Loop Control ◽

Loop Control ◽

Control Time ◽

Time And Energy ◽

Nonlinear Neural Networks

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Multi-criteria performance assessment based on closed-loop system identification

10.36227/techrxiv.16817551 ◽

2021 ◽

Author(s):

Gustavo Sanchez

Keyword(s):

System Identification ◽

Closed Loop ◽

Process Variable ◽

Loop System ◽

Closed Loop Control ◽

Closed Loop System ◽

Trade Off ◽

Loop Control ◽

Control Loops ◽

Variable Energy

<div>A method to assess the performance of closed loop control loops, based on closed-loop system identification. This method allows to take into account the trade-off between process variable and manipulated variable energy, thus overcoming one of the most important criticisms to Harris' index. </div>

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Where in the world is the speed/accuracy trade-off?

Behavioral and Brain Sciences ◽

10.1017/s0140525x97301447 ◽

1997 ◽

Vol 20 (2) ◽

pp. 310-311 ◽

Cited By ~ 1

Author(s):

P. A. Hancock ◽

Willem B. Verwey

Keyword(s):

Everyday Life ◽

Closed Loop ◽

Kinematic Model ◽

Common Type ◽

Closed Loop Control ◽

Trade Off ◽

Loop Control ◽

The World ◽

Speed Accuracy ◽

Model Fits

Even though Plamondon's kinematic model fits the data well, we do not share the view that it explains movements other than ballistic ones. The model does not account for closed-loop control, which is the more common type of movement in everyday life, nor does it account for recent data indicating interference with ongoing processing.

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An optimal closed-loop control strategy for mechanical chest compression devices: A trade-off between the risk of chest injury and the benefit of enhanced blood flow

Computer Methods and Programs in Biomedicine ◽

10.1016/j.cmpb.2012.04.009 ◽

2012 ◽

Vol 108 (1) ◽

pp. 288-298 ◽

Cited By ~ 4

Author(s):

Guang Zhang ◽

Jie-Wen Zheng ◽

Jian Wu ◽

Tai-Hu Wu

Keyword(s):

Blood Flow ◽

Chest Compression ◽

Control Strategy ◽

Closed Loop ◽

Chest Injury ◽

Closed Loop Control ◽

Trade Off ◽

Loop Control ◽

Mechanical Chest Compression

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The Impact of Visual Feedback Type on the Mastery of Visuo-Motor Transformations

Zeitschrift für Psychologie ◽

10.1027/2151-2604/a000084 ◽

2012 ◽

Vol 220 (1) ◽

pp. 3-9 ◽

Cited By ~ 4

Author(s):

Sandra Sülzenbrück

Keyword(s):

Empirical Research ◽

Visual Feedback ◽

Closed Loop ◽

Motor Planning ◽

Visual Input ◽

Closed Loop Control ◽

Loop Control ◽

Feedback Type ◽

Effective Use ◽

The Impact

For the effective use of modern tools, the inherent visuo-motor transformation needs to be mastered. The successful adjustment to and learning of these transformations crucially depends on practice conditions, particularly on the type of visual feedback during practice. Here, a review about empirical research exploring the influence of continuous and terminal visual feedback during practice on the mastery of visuo-motor transformations is provided. Two studies investigating the impact of the type of visual feedback on either direction-dependent visuo-motor gains or the complex visuo-motor transformation of a virtual two-sided lever are presented in more detail. The findings of these studies indicate that the continuous availability of visual feedback supports performance when closed-loop control is possible, but impairs performance when visual input is no longer available. Different approaches to explain these performance differences due to the type of visual feedback during practice are considered. For example, these differences could reflect a process of re-optimization of motor planning in a novel environment or represent effects of the specificity of practice. Furthermore, differences in the allocation of attention during movements with terminal and continuous visual feedback could account for the observed differences.

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