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This final project will study one of stochastic optimal control theory which is Linear Quadratic Gaussian (LQG). This type of control is suitable for linear dynamic system with random system and measurement noise. Our control strategy will be designing feedback...

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Main Author: INDAH DEWANTI (NIM 10104008), FIDYA
Format: Final Project
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/10444
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Institution: Institut Teknologi Bandung
Language: Indonesia
id id-itb.:10444
spelling id-itb.:104442017-09-27T11:43:05Z#TITLE_ALTERNATIVE# INDAH DEWANTI (NIM 10104008), FIDYA Indonesia Final Project INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/10444 This final project will study one of stochastic optimal control theory which is Linear Quadratic Gaussian (LQG). This type of control is suitable for linear dynamic system with random system and measurement noise. Our control strategy will be designing feedback control law which will going to operate on optimal state estimate. Control optimal will be formulated using Linear Quadratic Regulator (LQR) as if there is no uncertainty on the system and estimator will be evaluated using Kalman Filter as if there is no feedback control on the system. This method is called Separation Principle. Our next work will be implementing LQG on flight dynamic which contains color noise's gust turbulence. Our results will be a compensator system and controller which minimize the performance index. <br /> <br /> text
institution Institut Teknologi Bandung
building Institut Teknologi Bandung Library
continent Asia
country Indonesia
Indonesia
content_provider Institut Teknologi Bandung
collection Digital ITB
language Indonesia
description This final project will study one of stochastic optimal control theory which is Linear Quadratic Gaussian (LQG). This type of control is suitable for linear dynamic system with random system and measurement noise. Our control strategy will be designing feedback control law which will going to operate on optimal state estimate. Control optimal will be formulated using Linear Quadratic Regulator (LQR) as if there is no uncertainty on the system and estimator will be evaluated using Kalman Filter as if there is no feedback control on the system. This method is called Separation Principle. Our next work will be implementing LQG on flight dynamic which contains color noise's gust turbulence. Our results will be a compensator system and controller which minimize the performance index. <br /> <br />
format Final Project
author INDAH DEWANTI (NIM 10104008), FIDYA
spellingShingle INDAH DEWANTI (NIM 10104008), FIDYA
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author_facet INDAH DEWANTI (NIM 10104008), FIDYA
author_sort INDAH DEWANTI (NIM 10104008), FIDYA
title #TITLE_ALTERNATIVE#
title_short #TITLE_ALTERNATIVE#
title_full #TITLE_ALTERNATIVE#
title_fullStr #TITLE_ALTERNATIVE#
title_full_unstemmed #TITLE_ALTERNATIVE#
title_sort #title_alternative#
url https://digilib.itb.ac.id/gdl/view/10444
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