Stability and Robustness
Rate limits, controller coordination, and robustness to disturbances government does not control.
Stability and robustness
Every adaptive mechanism in this specification carries an explicit warning
against changing too quickly or too unpredictably. Closed-Loop Fiscal
Control requires bounded rate changes (|τ(t+1) − τ(t)| ≤ Δτ_max),
smoothing, forward guidance and minimum policy review periods — the same
discipline any control system needs to avoid oscillation, and that
businesses and households need to plan around multi-year investment and
consumption decisions.
Multiple controllers acting on the same coupled system can also counteract one another — fiscal expansion meeting monetary tightening is the clearest example, but similar interactions can occur between environmental taxation, macroprudential limits and public spending. Coordinating these controllers so they do not fight each other, or destabilise the system between them, is treated here as an open design problem rather than something assumed to resolve itself.
Finally, because government does not control external disturbances
(w(t): energy shocks, geopolitics, pandemics, technology change), policy
needs to produce acceptable outcomes across a range of plausible
conditions, not only the one a specific forecast anticipated. The longer-run
direction implied by this — periodically re-forecasting system trajectories
under candidate interventions and re-planning as data improves, i.e.
something like model predictive control — is identified here as a
plausible future evolution of the "policy operating model" design decision,
not something this specification claims is already fully worked out. The
position taken today (see Design Decisions) is feedback control: measured
error driving bounded, smoothed policy adjustment. Predictive/adaptive
control is future research, not a component already specified.