  The problem of identifying single modules in multiple-input-single-output
(MISO) systems is considered. A novel approach to distributed identification of
MISO finite impulse response systems is presented. The distributed
identification is discerned by the local estimation of local parameters, which
correspond to a module in the MISO system. The local estimators are derived
from the standard recursive least squares estimator and require limited
information exchange. By Lyapunov's second method, sufficient conditions are
derived for asymptotic convergence of the estimators to the true parameters in
the absence of disturbances, which lead to asymptotic unbiasedness in the
presence of additive output disturbances.
