Abstract: This article deals with the backstepping design of observer-based compensators for parabolic ODE–PDE–ODE systems. The latter consist of $\boldsymbol {n}$ coupled parabolic PDEs with distinct ...
Abstract: This work advances the application of neural ordinary differential equations (ODEs) to circuit modeling. Prior works primarily utilized the recurrent neural network (RNN), which is a ...
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