System identification using partitioned least squaresKarny, M. and Warwick, K. (1995) System identification using partitioned least squares. IEE Proceedings-Control Theory and Applications, 142 (3). pp. 223-228. ISSN 1350-2379 Full text not archived in this repository. It is advisable to refer to the publisher's version if you intend to cite from this work. See Guidance on citing. To link to this item DOI: 10.1049/ip-cta:19951877 Abstract/SummaryA novel partitioned least squares (PLS) algorithm is presented, in which estimates from several simple system models are combined by means of a Bayesian methodology of pooling partial knowledge. The method has the added advantage that, when the simple models are of a similar structure, it lends itself directly to parallel processing procedures, thereby speeding up the entire parameter estimation process by several factors.
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