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Sensor Location under Parametric and Location Uncertainty

  • Maciej Patan
Part of the Lecture Notes in Control and Information Sciences book series (LNCIS, volume 425)

Abstract

In Section 2.2.5.4 it was indicated that, in general, for nonlinear parametrization of the system responses, optimum experimental conditions strongly depend on the unknown parameter values which only have to be estimated. This causes one of the main complications related to the determination of optimal experimental conditions. A common approach is then to design the experiment for some reasonable nominal parameter values whose knowledge is a prerequisite for applying the locally optimal sensor location methods described in the previous chapters. Since the uncertainty of those nominal values is not taken into account, practical application of such procedures is limited to situations when system responses change slowly in the set of admissible parameters.

Keywords

Sensor Node Sensor Location Support Point Sequential Design Average Sense 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag GmbH Berlin Heidelberg 2012

Authors and Affiliations

  1. 1.Institute of Control and Computation EngThe University of Zielona GóraZielona GóraPoland

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