Abstract: This study proposes an integrated control framework that combines prescribed performance backstepping with reinforcement learning (RL) optimization for quadrotor unmanned aerial vehicles ...
Abstract: This study proposes a novel methodology driven by adaptive dynamic programming (ADP) to achieve optimal fault-tolerant tracking control (FTTC) in affine nonlinear systems subject to actuator ...
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