Abstract: This letter proposes a discrete-time integral sliding mode (DT-ISM) control strategy for linear time-invariant systems subject to matched and unmatched disturbances. The DT-ISM strategy is ...
Abstract: Graph neural networks (GNNs) have demonstrated success as surrogate models for fluid simulations with smoothly varying dynamics, but their efficacy for discrete element method (DEM) ...
Existing methods use flat enviornments to conduct the graph invariant learning. There are two limitations in flat environment infernece: Provided (Real): neglect local similarity among the numerous ...
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