ONLINE DUAL-NETWORK-BASED ADAPTIVE DYNAMIC PROGRAMMING FOR SOLVING PARTIALLY UNKNOWN MULTI-PLAYER NON-ZERO-SUM GAMES WITH CONTROL CONSTRAINTS

Online Dual-Network-Based Adaptive Dynamic Programming for Solving Partially Unknown Multi-Player Non-Zero-Sum Games With Control Constraints

In this article, a novel online method for multi-player non-zero-sum (NZS) differential games of nonlinear partially unknown continuous time (CT) systems with control constraints is developed based on neural networks (NN).The issue of multi-player NZS games with saturated actuator is elaborately analyzed and the unknown dynamics model is learned by

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Quantum annealing-assisted lattice optimization

Abstract High Entropy Alloys (HEAs) have drawn great interest due to their exceptional properties compared to conventional materials.The configuration of HEA system is considered a key to their Hockey Protective - Helmet - Cages superior properties, but exhausting all possible configurations of atom coordinates and species to find the ground energy

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