Identification for control: Optimal input intended to identify a minimum variance controller

DOI10.1016/j.automatica.2006.11.003zbMath1117.93074OpenAlexW1994865894MaRDI QIDQ883366

Roland Hildebrand, Gabriel Solari

Publication date: 4 June 2007

Published in: Automatica (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.automatica.2006.11.003

zbMATH Keywords

convex optimizationclosed-loop system identificationinput designminimum variance control

Mathematics Subject Classification ID

System identification (93B30) Design techniques (robust design, computer-aided design, etc.) (93B51) Identification in stochastic control theory (93E12) Optimal stochastic control (93E20)

Related Items (3)

Closed loop experiment design for linear time invariant dynamical systems via LMIs ⋮ System identification of complex and structured systems ⋮ Conditions when minimum variance control is the optimal experiment for identifying a minimum variance controller

Cites Work

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• Linear Matrix Inequalities in System and Control Theory
• Identification For Control: Optimal Input Design With Respect To A Worst-Case $\nu$-gap Cost Function
• Extremal Characterizations of the Schur Complement and Resulting Inequalities
• Equivalent Subgradient Versions of Hamiltonian and Euler–Lagrange Equations in Variational Analysis

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