Neural network enhanced output regulation in nonlinear systems

Authors:
Jin Wang;Jie Huang
Affiliations:
Department of Automation and Computer-Aided Engineering, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong;Department of Automation and Computer-Aided Engineering, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong
Venue:
Automatica (Journal of IFAC)
Year:
2001

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Abstract

A neural network based approach is developed to approximate the feedforward function needed for solving the nonlinear output regulation problem. The approach eliminates the need for solving the regulator equations, thus applying to complex uncertain nonlinear systems.