Addressing the accuracy concerns for the PWM programming of standard regulators requiring an output that can swing below the ...
Abstract: This study proposes an integrated control framework that combines prescribed performance backstepping with reinforcement learning (RL) optimization for quadrotor unmanned aerial vehicles ...
Abstract: In this article, an adaptive dynamic programming (ADP)-based optimal control strategy for a series of fractional-order nonlinear systems (FONS) with unknown control directions is ...
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