Abstract: This paper addresses the resilient leader-follower consensus problem for discrete-time high-order multi-agent systems with time-varying graphs. A resilient control law is proposed for each ...
Abstract: In this study, we propose a Bayesian seismic tomography inference method using physics-informed neural networks (PINNs). PINN represents a recent advance in deep learning, offering the ...
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