Design of a robust neural network controller for inverted pendulum

Control system has a long and distinguished tradition stretching back to the 19th-century dynamics and stability theory. Since 1950s, quite unparalleled developments in the underlying theory with applications ranging from the ubiquitous PID controller, widely encountered in the process industries, t...

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Main Author:	Li, Jijun.
Other Authors:	Song, Qing
Format:	Theses and Dissertations
Published:	2008
Subjects:	DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation
Online Access:	http://hdl.handle.net/10356/4638
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Institution:	Nanyang Technological University

id	sg-ntu-dr.10356-4638
record_format	dspace
spelling	sg-ntu-dr.10356-46382023-07-04T15:59:59Z Design of a robust neural network controller for inverted pendulum Li, Jijun. Song, Qing School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation Control system has a long and distinguished tradition stretching back to the 19th-century dynamics and stability theory. Since 1950s, quite unparalleled developments in the underlying theory with applications ranging from the ubiquitous PID controller, widely encountered in the process industries, through to high-performance fidelity controllers typical of aerospace applications. With the support by computing hardware and software, an intense research effort is being directed to the development of high-performance controllers which are robust to specified classes of plant uncertainty. Master of Science (Computer Control and Automation) 2008-09-17T09:55:45Z 2008-09-17T09:55:45Z 2004 2004 Thesis http://hdl.handle.net/10356/4638 Nanyang Technological University application/pdf
institution	Nanyang Technological University
building	NTU Library
continent	Asia
country	Singapore Singapore
content_provider	NTU Library
collection	DR-NTU
topic	DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation
spellingShingle	DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation Li, Jijun. Design of a robust neural network controller for inverted pendulum
description	Control system has a long and distinguished tradition stretching back to the 19th-century dynamics and stability theory. Since 1950s, quite unparalleled developments in the underlying theory with applications ranging from the ubiquitous PID controller, widely encountered in the process industries, through to high-performance fidelity controllers typical of aerospace applications. With the support by computing hardware and software, an intense research effort is being directed to the development of high-performance controllers which are robust to specified classes of plant uncertainty.
author2	Song, Qing
author_facet	Song, Qing Li, Jijun.
format	Theses and Dissertations
author	Li, Jijun.
author_sort	Li, Jijun.
title	Design of a robust neural network controller for inverted pendulum
title_short	Design of a robust neural network controller for inverted pendulum
title_full	Design of a robust neural network controller for inverted pendulum
title_fullStr	Design of a robust neural network controller for inverted pendulum
title_full_unstemmed	Design of a robust neural network controller for inverted pendulum
title_sort	design of a robust neural network controller for inverted pendulum
publishDate	2008
url	http://hdl.handle.net/10356/4638
_version_	1772827255347609600

Design of a robust neural network controller for inverted pendulum

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