An Analog Evolvable Hardware Device for Active Control

An Analog Evolvable Hardware Device for Active Control

Bibliographic Details
Main Author: Vigraham, Saranyan A.
Language:English
Published: Wright State University / OhioLINK 2007
Subjects:
Computer Science
Analog VLSI
Evolvable Hardware
Continuous Time Recurrent Neural Network
Evolutionary Algorithms
Neural Networks in hardware
Online Access:http://rave.ohiolink.edu/etdc/view?acc_num=wright1195506953
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spelling ndltd-OhioLink-oai-etd.ohiolink.edu-wright11955069532021-08-03T06:16:44Z An Analog Evolvable Hardware Device for Active Control Vigraham, Saranyan A. Computer Science Analog VLSI Evolvable Hardware Continuous Time Recurrent Neural Network Evolutionary Algorithms Neural Networks in hardware The field of Evolvable Hardware (EH) has recently gained a lot of interest due to the novel methodology it offers for designing electrical circuits and machines. EH techniques involve configuring a reconfigurable hardware platform with the aid of learning engines such as evolutionary algorithms. The EH devices normally act as closed loop controllers with the capability of learning necessary control laws adaptively. Current EH practices have several shortcomings, which have restricted their use as reliable controllers. This dissertation will present an improved EH device based on behavioral reconfigurability that addresses the current open challenges in the field of analog Evolvable Hardware. This EH device is based on Continuous Time Recurrent Neural Network (CTRNN). The design and implementation of the CTRNN-EH device and a custom designed evolutionary learning engine will be presented in this work. In addition to answering the open challenges in the field of EH, this dissertation will also provide a novel programming circuitry to by which a VLSI CTRNN can be effectively programmed. Furthermore, a closed loop calibration scheme based on Evolutionary Algorithms is presented to address the effects of random offset variations in the CTRNN design. 2007-11-28 English text Wright State University / OhioLINK http://rave.ohiolink.edu/etdc/view?acc_num=wright1195506953 http://rave.ohiolink.edu/etdc/view?acc_num=wright1195506953 unrestricted This thesis or dissertation is protected by copyright: all rights reserved. It may not be copied or redistributed beyond the terms of applicable copyright laws.
collection NDLTD
language English
sources NDLTD
topic Computer Science
Analog VLSI
Evolvable Hardware
Continuous Time Recurrent Neural Network
Evolutionary Algorithms
Neural Networks in hardware
spellingShingle Computer Science
Analog VLSI
Evolvable Hardware
Continuous Time Recurrent Neural Network
Evolutionary Algorithms
Neural Networks in hardware
Vigraham, Saranyan A.
An Analog Evolvable Hardware Device for Active Control
author Vigraham, Saranyan A.
author_facet Vigraham, Saranyan A.
author_sort Vigraham, Saranyan A.
title An Analog Evolvable Hardware Device for Active Control
title_short An Analog Evolvable Hardware Device for Active Control
title_full An Analog Evolvable Hardware Device for Active Control
title_fullStr An Analog Evolvable Hardware Device for Active Control
title_full_unstemmed An Analog Evolvable Hardware Device for Active Control
title_sort analog evolvable hardware device for active control
publisher Wright State University / OhioLINK
publishDate 2007
url http://rave.ohiolink.edu/etdc/view?acc_num=wright1195506953
work_keys_str_mv AT vigrahamsaranyana ananalogevolvablehardwaredeviceforactivecontrol
AT vigrahamsaranyana analogevolvablehardwaredeviceforactivecontrol
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