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

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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Small signal analysis and closed loop control design of L-L type active-clamped ZVS current-fed isolated DC-DC converter

2009 Canadian Conference on Electrical and Computer Engineering ◽

10.1109/ccece.2009.5090288 ◽

2009 ◽

Cited By ~ 1

Author(s):

Akshay K. Rathore ◽

Ashoka K. S. Bhat ◽

Ramesh Oruganti

Keyword(s):

Signal Analysis ◽

Closed Loop ◽

Control Design ◽

Closed Loop Control ◽

Small Signal ◽

Loop Control ◽

Small 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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