Title :
The Design of an Observer-Based Neural Adaptive Controller for a Class of Nonlinear Systems with Input-Constrained
Author :
Min, Fang ; Xueyan, Yang ; Hui, Fang ; Xiaoli, Bai
Author_Institution :
Sch. of Control Sci. & Eng., Univ. of Jinan, Jinan, China
Abstract :
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.
Keywords :
adaptive control; control system synthesis; feedback; neurocontrollers; nonlinear control systems; observers; input-constrained nonlinear system; neural network; observer-based neural adaptive controller design; output feedback; unknown saturation constraint; Adaptive control; Control systems; Design engineering; Error correction; Hydraulic actuators; Neural networks; Nonlinear control systems; Nonlinear systems; Output feedback; Programmable control; Adaptive control; Neural networks; Observers; Saturation constraint;
Conference_Titel :
Hybrid Intelligent Systems, 2009. HIS '09. Ninth International Conference on
Conference_Location :
Shenyang
Print_ISBN :
978-0-7695-3745-0
DOI :
10.1109/HIS.2009.135
