Life Homeostasis Engineering: A Ratio-Based State and Control Framework for Cross-Domain Life Systems

This preprint presents Life Homeostasis Engineering, an engineering framework for describing and modeling steady-state behavior in life systems. The framework is grounded in explicit axiomatic modeling assumptions and employs ratio-based, dimensionless state variables to characterize system structure rather than transient measurements. Five ratio-based variables are used to define a discrete state space, enabling the construction of a finite, multi-dimensional state machine that represents long-term operating configurations of life systems. The model is not limited to humans and does not rely on organ-specific or disease-based interpretations. Instead, it applies uniformly across biological domains by focusing on system-level stability, deviation, and recovery dynamics. An instrumentation layer is introduced for system state positioning, and an executable closure is demonstrated through a constraint-based solver that operates within the defined state space. This work should be understood strictly as an engineering control and state modeling framework. It does not constitute medical theory, diagnostic methodology, or prescriptive guidance.