Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/4638
Title: Design of a robust neural network controller for inverted pendulum
Authors: Li, Jijun.
Keywords: DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation
Issue Date: 2004
Abstract: 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.
URI: http://hdl.handle.net/10356/4638
Rights: Nanyang Technological University
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:EEE Theses

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