ADP policy iteration solves hierarchical zero-sum and nonzero-sum games for nonlinear systems with disturbances, reducing neural network usage by about 30% with Lyapunov convergence analysis.
An iterative adaptive dynamic pro- gramming method for solving a class of nonlinear zero-sum differential games
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
eess.SY 1years
2019 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Robust On-Line ADP-based Solution of a Class of Hierarchical Nonlinear Differential Game
ADP policy iteration solves hierarchical zero-sum and nonzero-sum games for nonlinear systems with disturbances, reducing neural network usage by about 30% with Lyapunov convergence analysis.