Performance bounds for mismatched decision schemes with Poisson process observations

Show simple item record Pahlajani, Chetan D. Sun, Jianxin Poulakakis, Ioannis Tanner, Herbert G. 2014-12-18T10:42:27Z 2014-12-18T10:42:27Z 2015-01
dc.identifier.citation Pahlajani, Chetan D.; Sun, Jianxin; Poulakakis, Ioannis and Tanner, Herbert G., "Performance bounds for mismatched decision schemes with Poisson process observations", Systems & Control Letters, DOI: 10.1016/j.sysconle.2014.11.006, vol. 75, pp. 69-76, Jan. 2015. en_US
dc.identifier.issn 0167-6911
dc.description.abstract This paper develops a framework for analyzing the performance loss in fixed time interval decision algorithms that are based on observations of time-inhomogeneous Poisson processes, when some parameters characterizing the observation process are not known exactly. Key to the development is the formulation of an analytically computable performance metric which can be used in lieu of the true, but intractable, error probabilities. The proposed metric is obtained by identifying analytical upper bounds on the error probabilities in terms of the uncertain parameters. Using these tools, it is shown that performance degrades gracefully as long as the true values of the parameters remain within a neighborhood of the nominal values used in decision making. The results find direct application to problems of detecting illicit nuclear materials in transit. en_US
dc.description.statementofresponsibility by Chetan D Pahlajani, Jianxin Sun, Ioannis Poulakakis and Herbert G. Tanner
dc.format.extent Vol. 75, pp. 69-76
dc.language.iso en en_US
dc.publisher Science direct en_US
dc.subject Decision making en_US
dc.subject Model mismatch en_US
dc.subject Nuclear detection en_US
dc.subject Poisson process en_US
dc.title Performance bounds for mismatched decision schemes with Poisson process observations en_US
dc.type Article en_US
dc.relation.journal Systems & Control Letters

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