A DSC approach to adaptive neural network tracking control for pure-feedback nonlinear systems

Applied Mathematics and Computation

Volumn 219, Issue 11, 2013, Pages 6224-6235

  Sun, Gang ^a   Wang, Dan ^a   Li, Xiaoqiang ^a   Peng, Zhouhua ^a  

^a DALIAN MARITIME UNIVERSITY   (China)

Author keywords

Dynamic surface control; Input to state practically stability; Neural network; Non affine pure feedback nonlinear systems; Small Gain Theorem

Indexed keywords

ADAPTIVE CONTROL DESIGNS; ADAPTIVE NEURAL NETWORKS; CONTROL PARAMETERS; DYNAMIC SURFACE CONTROL; INPUT-TO-STATE; NEURAL NETWORK BASED ADAPTIVE CONTROL; PURE-FEEDBACK NONLINEAR SYSTEMS; SMALL GAIN THEOREM; STABILITY ANALYSIS; STEADY STATE TRACKING; TRACKING CONTROLS; UNIFORM ULTIMATE BOUNDEDNESS;

ADAPTIVE CONTROL SYSTEMS; CLOSED LOOP CONTROL SYSTEMS; CONTROL; FEEDBACK; NEURAL NETWORKS; NONLINEAR SYSTEMS;

BACKSTEPPING;

EID: 84872933835     PISSN: 00963003     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.amc.2012.12.034     Document Type: Article

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