Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/4973
Title: Robust neural training and pruning algorithms for a class of nonlinear tracking control systems
Authors: Ni, Jie
Keywords: DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Control engineering
DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems
Issue Date: 2006
Source: Ni, J. (2006). Robust neural training and pruning algorithms for a class of nonlinear tracking control systems. Doctoral thesis, Nanyang Technological University, Singapore.
Abstract: This thesis focuses on developing robust online training and pruning algorithms for a class of neural network tracking control systems. In particular, a complete convergence analysis is presented for all the algorithms with different learning schemes, respectively.
URI: https://hdl.handle.net/10356/4973
DOI: 10.32657/10356/4973
Rights: Nanyang Technological University
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:EEE Theses

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