Semi-Blind Robust Identification/Model (In)validation With Applications to Macro-Economic Modelling

Implied historical federal reserve bank behavior under uncertainty

“…The inflation stabilization problem utilizes the nominal system model [17] transfer function, which was already analyzed and validated for the respective historical data:…”

“…This paper extends the robust systems model identification and (in)validation concepts [17] to analyze the implied and historical FED behavior under model and shock uncertainty. Section 2 covers the robust systems framework, Section 3 follows with the macroeconomic stabilization problem description and analysis in detail and Section 4 concludes.…”

Semi-blind robust indentification and robust control approach to personalized anemia management.

“…With this new technique, the robust identification method attempts to provide information on the system initial conditions prior to the identification process. To incorporate the effects of the initial conditions on the system, a new set of parameter is introduced which the robust identification algorithm must find in addition to the solutions to the original problem of impulse response estimates formulated as follows [75,76]:…”

“…By using the derivations in [75][76][77], summarized here, one can state that given the first N measurements such that {y i } N −1 0 , the error bound on the next output values at t = N is defined as:…”

“…Using Equation (5.16), the worst-case identification error can be computed to validate the model [75].…”