A novel ISS-modular adaptive neural control of pure-feedback nonlinear systems

International Journal of Innovative Computing, Information and Control

Volumn 7, Issue 11, 2011, Pages 6559-6570

  Wang, Min ^a   Wang, Cong ^a   Ge, Shuzhi Sam ^b  

^a SOUTH CHINA UNIVERSITY OF TECHNOLOGY   (China)

^b UNIVERSITY OF ELECTRONIC SCIENCE AND TECHNOLOGY OF CHINA   (China)

Author keywords

Adaptive neural control; Backstepping; Input to state stability; Pure feedback systems; Small gain theorem

Indexed keywords

ADAPTIVE NEURAL CONTROL; IMPLICIT FUNCTION; INPUT-TO-STATE STABILITY; INTERCONNECTED TERMS; ISS-LYAPUNOV FUNCTIONS; NEURAL CONTROLLER; PURE-FEEDBACK NONLINEAR SYSTEMS; PURE-FEEDBACK SYSTEM; RADIAL BASIS FUNCTION NEURAL NETWORKS; SIMULATION STUDIES; SMALL GAIN THEOREM; STABILITY ANALYSIS; TRACKING CONTROL APPROACH;

BACKSTEPPING; CLOSED LOOP CONTROL SYSTEMS; CONTROL SYSTEM STABILITY; CONTROLLERS; FEEDBACK CONTROL; LYAPUNOV FUNCTIONS; NEURAL NETWORKS; NONLINEAR FEEDBACK; RADIAL BASIS FUNCTION NETWORKS; STATE FEEDBACK;

ADAPTIVE CONTROL SYSTEMS;

EID: 80054834821     PISSN: 13494198     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

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