Analyzing and Enhancing Direct NDP Designs Using a Control-Theoretic Approach

IEEE International Symposium on Intelligent Control - Proceedings

Volumn , Issue , 2003, Pages 529-532

  Yang, Lei ^a   Si, Jennie ^a   Tsakalis, Konstantinos S ^a   Rodriguez, Armando A ^a  

^a Arizona State University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

APPROXIMATE DYNAMIC PROGRAMMING (ADP); LINEAR QUADRATIC REGULATOR (LQR); NEURO-DYNAMIC PROGRAMMING (NDP);

APPROXIMATION THEORY; CLOSED LOOP CONTROL SYSTEMS; COMPUTER SIMULATION; CONTROL SYSTEM ANALYSIS; DYNAMIC PROGRAMMING; INTELLIGENT CONTROL; LARGE SCALE SYSTEMS; LEARNING SYSTEMS; NONLINEAR CONTROL SYSTEMS; POLES AND ZEROS; SENSITIVITY ANALYSIS;

NEURAL NETWORKS;

EID: 0344666440     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (0)