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.
Original language | English (US) |
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Article number | 6882811 |
Pages (from-to) | 2990-2995 |
Number of pages | 6 |
Journal | IEEE Transactions on Automatic Control |
Volume | 59 |
Issue number | 11 |
DOIs | |
State | Published - Nov 1 2014 |
Keywords
- Data-centric estimation
- input signal design
- semidefinite relaxation
ASJC Scopus subject areas
- Control and Systems Engineering
- Computer Science Applications
- Electrical and Electronic Engineering