Jufe-131 Engsub02-02-03 Min -free- • Limited

| Metric | Conventional LQG | Min‑FREE (optimal) | |--------|-------------------|--------------------| | Electrical energy (J) | 18.5 | (−23 %) | | Hydraulic loss (J) | 5.9 | 4.8 (−19 %) | | Entropy production (J/K) | 0.

[Your Name], Department of Mechanical & Aerospace Engineering, [University] JUFE-131 ENGSUB02-02-03 Min -FREE-

[ \mathcalF(\mathbfx,\mathbfu) = U(\mathbfx) - T S(\mathbfx) + \frac12\mathbfu^!\topR,\mathbfu, ] | Metric | Conventional LQG | Min‑FREE (optimal)

[ \boxed\displaystyle \big(\mathbfx^\star(\cdot),\mathbfu^\star(\cdot)\big)=\arg!\min_\mathbfx,\mathbfu \mathcalJ[\mathbfx,\mathbfu] Min‑FREE fills this void

[ \dotU = \dotQ + \dotW \quad\Rightarrow\quad \dot\mathcalF = \dotU - T\dotS - S\dotT + \mathbfu^!\top R\mathbfu. ]

Min‑FREE: A Minimal‑Free Energy Framework for Adaptive Engineering Subsystems

While each field treats free energy from a distinct angle, a holistic, engineering‑centric formalism that couples system thermodynamics, stochastic dynamics, and control design remains absent. Min‑FREE fills this void. 3. Theoretical Development 3.1 System Description Consider a continuous‑time, stochastic dynamical system: