
doi: 10.1155/2015/516374
This paper studies the identification of Hammerstein finite impulse response moving average (H-FIR-MA for short) systems. A new two-stage least squares iterative algorithm is developed to identify the parameters of the H-FIR-MA systems. The simulation cases indicate the efficiency of the proposed algorithms.
Estimation and detection in stochastic control theory
Estimation and detection in stochastic control theory
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