NARMAX Model-Based State-Space Self-Tuning Control for Nonlinear Stochastic Hybrid Systems

博士 === 國立成功大學 === 電機工程學系碩博士班 === 98 === In this dissertation, a state-space self-tuning control scheme based on the nonlinear autoregressive moving average with exogenous inputs (NARMAX) model has been proposed and used to design the optimal fault-tolerant trajectory tracker for nonlinear stochastic...

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Bibliographic Details
Main Authors: Chu-TongWang, 王舉東
Other Authors: Sheng-Hong Tsai
Format: Others
Language:en_US
Published: 2010
Online Access:http://ndltd.ncl.edu.tw/handle/00478786595080956982