A unified non-causal FIR framework for finite-time Markov-parameter identification of stable and unstable LTI systems from closed-loop data, with non-asymptotic error bounds under instrument-strength conditions.
(B.1) From the truncated non-causal FIR representation, Ψ y,ℓ = θr,d Φ + Er,d,ℓ
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Finite-Time Markov-Parameter Identification of LTI Systems Using Non-Causal FIR Models: A Unified Framework for Stable and Unstable Systems
A unified non-causal FIR framework for finite-time Markov-parameter identification of stable and unstable LTI systems from closed-loop data, with non-asymptotic error bounds under instrument-strength conditions.