Zero-sum two-player game theoretic formulation of affine nonlinear discrete-time systems using neural networks

Proceedings of the International Joint Conference on Neural Networks

Volumn , Issue , 2010, Pages

  Mehraeen, S ^a   Dierks, T ^a   Jagannathan, S ^a   Crow, M L ^a  

^a University of Missouri Rolla   (United States)

Author keywords

Generalized Hamilton Jacobi Isaacs; Neural networks; Nonlinear Discrete time systems; Optimal control

Indexed keywords

APPROXIMATION THEORY; DIGITAL CONTROL SYSTEMS; DISCRETE TIME CONTROL SYSTEMS; GAME THEORY;

DISCRETE TIME; GAME-THEORETIC; GENERALIZED HAMILTON-JACOBI-ISAAC; HAMILTON-JACOBI-ISAACS; HAMILTON-JACOBI-ISAACS EQUATIONS; NEURAL-NETWORKS; NONLINEAR DISCRETE-TIME SYSTEMS; OPTIMAL CONTROLS; TWO-PLAYER GAMES; ZERO SUMS;

NEURAL NETWORKS;

EID: 79959413200     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IJCNN.2010.5596761     Document Type: Conference Paper

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