Neural-network-based reinforcement learning controller for nonlinear systems with non-symmetric dead-zone inputs

2009 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning, ADPRL 2009 - Proceedings

Volumn , Issue , 2009, Pages 124-129

  Zhang, Xin ^a   Zhang, Huaguang ^a   Liu, Derong ^b   Kim, Yongsu ^a  

^a NORTHEASTERN UNIVERSITY   (China)

^b 1120 Science and Engineering Offices   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ADAPTIVE CRITIC; CLOSE LOOP; DEAD-ZONE; NONLINEAR FUNCTIONS; NUMERICAL EXAMPLE; OFF-LINE LEARNING; THEORETICAL RESULT; TRACKING ERRORS; UNIFORMLY ULTIMATE BOUNDEDNESS; UTILITY FUNCTIONS;

CONTROLLERS; DYNAMIC PROGRAMMING; EDUCATION; LYAPUNOV METHODS; NONLINEAR SYSTEMS; REINFORCEMENT; REINFORCEMENT LEARNING; SYSTEMS ENGINEERING; WIRELESS TELECOMMUNICATION SYSTEMS;

ADAPTIVE CONTROL SYSTEMS;

EID: 67650505312     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ADPRL.2009.4927535     Document Type: Conference Paper

References (15)

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