Neural dynamic optimization for control systems-Part II: Theory

IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics

Volumn 31, Issue 4, 2001, Pages 490-501

  Seong, Chang Yun ^a,b   Widrow, Bernard ^a,c  

^a IEEE   (United States)

^b Fineground Networks   (United States)

^c Stanford University   (United States)

Author keywords

Dynamic programming; Information time shift operator; Learning operator; Neural dynamic optimization; Neural networks; Nonlinear systems; Optimal feedback control

Indexed keywords

INFORMATION TIME SHIFT OPERATOR; LEARNING OPERATOR; MULTIPLE INPUT MULTIPLE OUTPUT SYSTEMS; NEURAL DYNAMIC OPTIMIZATION;

COMPUTATIONAL COMPLEXITY; CONTROL SYSTEM SYNTHESIS; DYNAMIC PROGRAMMING; FEEDBACK CONTROL; NONLINEAR CONTROL SYSTEMS; OPTIMAL CONTROL SYSTEMS;

NEURAL NETWORKS;

EID: 0035421195     PISSN: 10834419     EISSN: None     Source Type: Journal    
DOI: 10.1109/3477.938255     Document Type: Article

References (17)

1. Neural dynamic optimization for control systems - Part I, Background
2. Neural dynamic optimization for control systems - Part III, Applications
3. Adaptive switching circuits
4. Neural dynamic programming and its application to control systems