Stabilnoci

Stabilnoci is a theoretical concept used to characterize how well a system maintains function under external or internal perturbations. It is intended as a general measure of stability that can be applied across technical, biological, and social domains. The term is a neologism formed from roots associated with stability in several languages and has appeared in scholarly discussions in the 2020s, though there is no universal definition.

Definition: Stabilnoci describes the capacity of a system to stay within a predefined performance envelope for a given disturbance distribution and time horizon. In practice it is treated as a scalar index that integrates robustness, resilience, and persistency. Several operationalizations exist, including the probability of remaining within bounds after perturbation and the inverse of expected recovery time, optionally combined with the magnitude of deviation.

Measurement: Common approaches compute S as a function of state trajectories under simulated perturbations. One variant defines S = 1 - E[||x(t*) - x0||] / D, where x0 is baseline, D a normalization, t* a horizon; another uses area under a curve of stability deficits.

Applications: Stabilnoci has been proposed for use in engineering (control systems, power grids), ecology (habitat stability under climate perturbations), economics (stability of markets under shocks), and software systems (uptime under load spikes).

Limitations: As a non-standardized concept, stabilnoci lacks agreed measurement conventions; results depend on model choice, perturbation distribution, and time horizon. Some critics warn against overextending a single index to heterogeneous domains.

See also: resilience, robustness, stability, chaos theory.