Stability and almost disturbance decoupling analysis of nonlinear system subject to feedback linearization and feedforward neural network controller

IEEE Transactions on Neural Networks

Volumn 19, Issue 7, 2008, Pages 1220-1230

  Chien, Ting Li ^a   Chen, Chung Cheng ^b   Huang, Yi Chieh ^c   Lin, Wen Jiun ^d  

^a WUFENG INSTITUTE OF TECHNOLOGY   (Taiwan)

^b NATIONAL FORMOSA UNIVERSITY   (Taiwan)

^c NATIONAL TAIWAN UNIVERSITY   (Taiwan)

^d I SHOU UNIVERSITY   (Taiwan)

Author keywords

Almost disturbance decoupling; Amira's ball and beam system; Feedback linearizable; Feedforward neural network

Indexed keywords

ADAPTIVE ALGORITHMS; ADAPTIVE CONTROL SYSTEMS; COMPUTER ARCHITECTURE; FEEDFORWARD NEURAL NETWORKS; IMAGE CLASSIFICATION; LEARNING ALGORITHMS; LINEARIZATION; NETWORK ARCHITECTURE; NEURAL NETWORKS; NONLINEAR NETWORK ANALYSIS; NONLINEAR SYSTEMS; OPTIMAL CONTROL SYSTEMS; SYSTEM STABILITY; THEOREM PROVING;

BEAM SYSTEM; BOUNDED STABILITY; CLOSED-LOOP SYSTEMS; DISTURBANCE DECOUPLING; FEED FORWARD (FF); INITIAL CONDITIONS; INPUT-TO-STATE (ISS) STABILITY; MULTI-LAYERED; NEURAL NETWORK CONTROLLERS; NEW APPROACHES; SUFFICIENT CONDITIONS (SC);

FEEDBACK LINEARIZATION;

EID: 48949116211     PISSN: 10459227     EISSN: None     Source Type: Journal    
DOI: 10.1109/TNN.2008.2000207     Document Type: Article

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