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.
|Number of pages||6|
|Publication status||Published - 2018|
|Event||7th IFAC Workshop on Distributed Estimation and Control in Networked Systems NECSYS 2018 - Groningen, Netherlands|
Duration: 27 Aug 2018 → 28 Aug 2018
- distributed estimation
- Lyapunov methods
- recursive methods