System Identification, Model Simplification and the Design Objective
1986 (English)In: Proceedings of the 25th IEEE Conference on Decision and Control, 1986, 783-788 p.Conference paper (Refereed)
Models and model quality are prime concerns for most design issues in control and system analysis. The success of a simulation study hinges upon the reliability of the model used. In this contribution we discuss how to build mathematical models that given certain constraints, are of optimum quality for a prespecified application. We then taken into account the influence of both bias errors and random errors on the model. It turns out that for a fairly broad class of identification methods in the prediction error family, the optimal choices of design variables can be given in an explicit form.
Place, publisher, year, edition, pages
1986. 783-788 p.
Model quality, System analysis, Simulation, System identification
IdentifiersURN: urn:nbn:se:liu:diva-100649DOI: 10.1109/CDC.1986.267462OAI: oai:DiVA.org:liu-100649DiVA: diva2:663240
25th IEEE Conference on Decision and Control, Athens, Greece, 10-12 December, 1986