Parameter bounds for a class of discrete bilinear systems from records with bounded output errors
作者:
V. Cerone,
期刊:
International Journal of Adaptive Control and Signal Processing
(WILEY Available online 1995)
卷期:
Volume 9,
issue 1
页码: 63-70
ISSN:0890-6327
年代: 1995
DOI:10.1002/acs.4480090107
出版商: Wiley Subscription Services, Inc., A Wiley Company
关键词: Parameter bounding;Errors in variables;Bounded‐errors;Bilinear systems
数据来源: WILEY
摘要:
AbstractParameter bounding offers a useful alternative to point parameter estimation methods when either statistical hypotheses on the errors are not met or uncertainties are better characterized in a deterministic way (e.g. systematic, round‐off, truncation errors). So far, many efforts have been devoted to the problem of parameter bounding in linear systems, where exact parameter uncertainty intervals can be computed. In contrast, only partial results have been found for general non‐linear parametrization, namely either upper or lower bounds on parameter uncertainties can be evaluated. In this paper we derive approximate parameter uncertainty intervals for a class of discrete bilinear systems with bounded output errors. This work is based on a linear input‐output parametrization and previous results on bounded errors‐in‐variables models. For an extensively simulated example, central estimates by means of the bounded errors‐in‐variables approach and least squares estimates are computed
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