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The Design of an Observer-Based Neural Adaptive Controller for a Class of Nonlinear Systems with Input-Constrained

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4 Author(s)
Fang Min ; Sch. of Control Sci. & Eng., Univ. of Jinan, Jinan, China ; Yang Xueyan ; Fang Hui ; Bai Xiaoli

This paper focuses on the adaptive control of a class of nonlinear systems with unknown saturation constraint imposed on the control input. By constructing neural network, a observer-based approach is developed using nonlinear output feedback techniques.The simulation example is given to illustrate the effectiveness of this method.

Published in:

Hybrid Intelligent Systems, 2009. HIS '09. Ninth International Conference on  (Volume:2 )

Date of Conference:

12-14 Aug. 2009

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