Abstract: This paper investigates the design of a novel completely distributed unknown input observer (DUIO) for linear time-invariant systems without relying on any global information. Existing ...
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 ...
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