Optimal feedback laws and measurement schedules are derived for a mesoscopic information engine with costly binary sensors, recovering the Schmiedl-Seifert protocol in the open-loop limit and revealing deadline-induced blindness plus periodic steady-state schedules.
Since the trap stiff- nessκis constant, theE[x 2] terms cancel exactly: Ex[W] =−κµ +λ′ + 1 2 κ(λ′)2 +κµ +λ− 1 2 κλ2
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Optimal Control of a Mesoscopic Information Engine
Optimal feedback laws and measurement schedules are derived for a mesoscopic information engine with costly binary sensors, recovering the Schmiedl-Seifert protocol in the open-loop limit and revealing deadline-induced blindness plus periodic steady-state schedules.