A recursive estimation approach to distributed identification of large-scale multi-input-single-output FIR systems ⁎. Issue 23 (2018)

• Record Type: Journal Article
• Authors: Steentjes, Tom R.V.; Lazar, Mircea; Van den Hof, Paul M.J.
• Is Part Of: IFAC-PapersOnLine. Volume 51:Issue 23(2018)
• Page Start: 236
• Page End: 241
• Publication Date: 2018
• Subjects: Distributed estimation -- recursive methods -- identification -- Lyapunov methods -- convergence; Automatic control -- Periodicals; 629.805
• DOI: 10.1016/j.ifacol.2018.12.041
• Languages: English
• ISSNs: 2405-8963

Abstract

Abstract: 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.