Wireless closed-loop control of centrifugo-pneumatic valving towards large-scale microfluidic process integration

The brain is a highly complex network and analyzing brain connectivity is a nontrivial task. Consequently, the neuroscience community created a large-scale, customizable, mathematical model which simulates brain activity called The Virtual Brain (TVB). Using TVB, we seek to control electroencephalography (EEG) measured brain states using auditory inputs, through TVB. A safe non-invasive brain stimulation method is binaural beats (BB) which arise from the brain’s interpretation of two pure tones, with a small frequency mismatch, delivered independently to each ear. A third phantom BB, whose frequency is equal to the difference of the two presented tones, is produced. This paper details the development and proof-of-concept testing of a simulation environment for an EEG-based closed-loop control of TVB using BB. Results suggest that the connectivity networks, constructed from simulated EEG, may change with certain BB stimulation frequency. In this work, we demonstrate that a linear controller can successfully modulate TVB connectivity.

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Exploiting All Programmable SoCs in Neural Signal Analysis: A Closed-Loop Control for Large-Scale CMOS Multielectrode Arrays

IEEE Transactions on Biomedical Circuits and Systems ◽

10.1109/tbcas.2018.2830659 ◽

2018 ◽

Vol 12 (4) ◽

pp. 839-850 ◽

Cited By ~ 7

Author(s):

Giovanni Pietro Seu ◽

Gian Nicola Angotzi ◽

Fabio Boi ◽

Luigi Raffo ◽

Luca Berdondini ◽

...

Keyword(s):

Signal Analysis ◽

Large Scale ◽

Closed Loop ◽

Closed Loop Control ◽

Multielectrode Arrays ◽

Neural Signal ◽

Loop Control ◽

Neural Signal Analysis

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Cloud-Edge Cooperative Model and Closed-Loop Control Strategy for the Price Response of Large-Scale Air Conditioners Considering Data Packet Dropouts

IEEE Transactions on Smart Grid ◽

10.1109/tsg.2020.2985741 ◽

2020 ◽

Vol 11 (5) ◽

pp. 4201-4211 ◽

Cited By ~ 2

Author(s):

Aihua Jiang ◽

Hua Wei ◽

Jun Deng ◽

Hua Qin

Keyword(s):

Control Strategy ◽

Large Scale ◽

Closed Loop ◽

Data Packet ◽

Closed Loop Control ◽

Cooperative Model ◽

Loop Control ◽

Air Conditioners ◽

Packet Dropouts ◽

Price Response

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Linear Closed-Loop Control of Fluid Instabilities and Noise-Induced Perturbations: A Review of Approaches and Tools1

Applied Mechanics Reviews ◽

10.1115/1.4033345 ◽

2016 ◽

Vol 68 (2) ◽

Cited By ~ 21

Author(s):

Denis Sipp ◽

Peter J. Schmid

Keyword(s):

Large Scale ◽

Closed Loop ◽

Closed Loop Control ◽

Control Input ◽

Input Output ◽

Control Laws ◽

Loop Control ◽

Stability Robustness ◽

Data Control ◽

Galerkin Models

This review article is concerned with the design of linear reduced-order models and control laws for closed-loop control of instabilities in transitional flows. For oscillator flows, such as open-cavity flows, we suggest the use of optimal control techniques with Galerkin models based on unstable global modes and balanced modes. Particular attention has to be paid to stability–robustness properties of the control law. Specifically, we show that large delays and strong amplification between the control input and the estimation sensor may be detrimental both to performance and robustness. For amplifier flows, such as backward-facing step flow, the requirement to account for the upstream disturbance environment rules out Galerkin models. In this case, an upstream sensor is introduced to detect incoming perturbations, and identification methods are used to fit a model structure to available input–output data. Control laws, obtained by direct inversion of the input–output relations, are found to be robust when applied to the large-scale numerical simulation. All the concepts are presented in a step-by-step manner, and numerical codes are provided for the interested reader.

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Dynamic Distributed Monitoring Strategy for Large-Scale Nonstationary Processes Subject to Frequently Varying Conditions Under Closed-Loop Control

IEEE Transactions on Industrial Electronics ◽

10.1109/tie.2018.2864703 ◽

2019 ◽

Vol 66 (6) ◽

pp. 4749-4758 ◽

Cited By ~ 43

Author(s):

Chunhui Zhao ◽

He Sun

Keyword(s):

Large Scale ◽

Closed Loop ◽

Closed Loop Control ◽

Monitoring Strategy ◽

Nonstationary Processes ◽

Distributed Monitoring ◽

Loop Control

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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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