Title :
Direct Adaptive NN Control of Nonlinear Systems in Strict-Feedback Form Using Dynamic Surface Control
Author :
Zhang, Tianping ; Ge, Shuzhi Sam
Author_Institution :
Yangzhou Univ., Yangzhou
Abstract :
In this paper, direct adaptive neural control is investigated for a class of strict-feedback nonlinear systems with both unknown system functions and virtual control gain functions. The explosion of complexity in traditional backstepping design is avoided by utilizing dynamic surface control (DSC) and introducing integral-type Lyapunov function. It is proved that the proposed design method is able to guarantee semi-global uniform ultimate boundedness of all signals in the closed-loop system, with arbitrary small tracking error by appropriately choosing design constants.
Keywords :
Lyapunov methods; adaptive control; closed loop systems; control system synthesis; feedback; neurocontrollers; nonlinear control systems; nonlinear dynamical systems; closed-loop system; direct adaptive neural net control; dynamic surface control; integral-type Lyapunov function; strict-feedback nonlinear system; virtual control gain function; Adaptive control; Backstepping; Control systems; Explosions; Lyapunov method; Neural networks; Nonlinear control systems; Nonlinear dynamical systems; Nonlinear systems; Programmable control;
Conference_Titel :
Intelligent Control, 2007. ISIC 2007. IEEE 22nd International Symposium on
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-0440-7
Electronic_ISBN :
2158-9860
DOI :
10.1109/ISIC.2007.4450904
