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Demonstrates optimal power flow integration in logistics, suggesting enhanced resilience in disrupted environments.
We present a unified hardware-software architecture for resilient, antifragile decision-making in contested logistics environments. The system is built on a stochastic reservoir computer governed by a double-well Langevin equation, a hyperbolic echo state network (HypER) for hierarchical representation, a synchronicity order parameter for early disruption detection, and a meta-optimizer that performs simulated annealing over reservoir parameters to improve recovery after shocks. The core innovation is a dual-mode memristor crossbar that functions both as the physical reservoir and as an event-driven analog optimal power/flow (OPF) solver. This reconfigurable fabric eliminates the need for a digital convex optimization engine, reduces SWaP, and transforms the hypothesis generator into a physically grounded planner. Full mathematical mappings, hardware specifications, and a TRL 2 to TRL 6 roadmap are provided.Version 1.2
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Damon John (2026) studied this question.
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