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Constrained Optimal Input Signal Design for Data-Centric Estimation Methods | IEEE Journals & Magazine | IEEE Xplore

Constrained Optimal Input Signal Design for Data-Centric Estimation Methods


Abstract:

This technical note examines the design of constrained input signals for data-centric estimation methods which systematically generate a local function approximation from...Show More

Abstract:

This technical note examines the design of constrained input signals for data-centric estimation methods which systematically generate a local function approximation from a database of regressors at a current operating point. The proposed method addresses the optimal distribution of regressor vectors under constraints for a linear time-invariant (LTI) system. The resulting nonconvex optimization problems are solved using semidefinite relaxation methods. Numerical examples illustrate the benefits and usefulness of the proposed input signal design formulations.
Published in: IEEE Transactions on Automatic Control ( Volume: 59, Issue: 11, November 2014)
Page(s): 2990 - 2995
Date of Publication: 28 August 2014

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