Abstract: This letter proposes a novel Data-Driven (DD) method for controlling unknown input-affine nonlinear systems. First, we estimate the system dynamics from noisy data offline through Subspace ...
Abstract: This study proposes an integrated control framework that combines prescribed performance backstepping with reinforcement learning (RL) optimization for quadrotor unmanned aerial vehicles ...
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