Abstract: This work proposes a new recurrent neural network (RNN) algorithm for solving discrete multilayer dynamic systems (DMDSs). First, by utilizing the direct-discretization technique, a ...
In recent decades, regime-switching models have gained popularity in mathematical finance as a way of overcoming the limitations of the Black-Scholes formula for European Options pricing. Rather than ...
Abstract: Robust model predictive control (MPC) is a well-known control technique for model-based control with constraints and uncertainties. In classic robust tube-based MPC approaches, an open-loop ...
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