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Abstract: In this paper, a novel adaptive integral reinforcement learning (AIRL) is utilized to online handle the finite-horizon optimum control policies of the partially unknown multi-input nonlinear ...

As the new vice president of agronomy and business development for Meristem, based in Powell, Ohio, Tim Eyrich brings experience with the science and education required for the successful ...

Abstract: This article investigates the data-driven control problem of linear time-invariant (LTI) multi-input systems under aperiodic sampling, where the input of the system is determined by the ...