This manuscript explores unmanned aerial vehicle DC motor control performance efficacy of deterministic artificial intelligence in comparison to model-following adaptation, particularly a direct self-tuner with filtering. The deterministic artificial intelligence model made use of self-awareness statements to overcome error in response to permutations of the multi-duty cycle square wave that served as the system input. It can be seen that (despite equivalently powerful estimation techniques) deterministic artificial intelligence provided far superior results: a reduction in peak initial transient error of 55%, and a mean error reduction over 81% with over 65% reduction in error standard deviation compared to a state-of-the-art nonlinear adaptive control method. Deterministic artificial intelligence also was able to very closely track at the switching of the input control, while the benchmark nonlinear adaptive control failed to respond as quickly at these points.
isotopes could ethically be given. All three patients were able to form 25-hydroxycholecalciferol to the same extent as nonPakistani control patients with a similar degree of vitamin D deficiency. The two Pakistani patients were also shown to form the potent biologically active metabolite 1,25 dihydroxycholecalciferol. Details relating to one of these patients have been published. 2 We feel therefore that inability to produce the appropriate metabolites of vitamin D is not the explanation for the phenomena reported in both surveys.-We are, etc.,
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