Direct data-driven filter design for uncertain LTI systems with bounded noise

DOI10.1016/j.automatica.2010.07.006zbMath1218.93102OpenAlexW2034367127MaRDI QIDQ620579

Fredy Ruiz, Michele Taragna, Mario Milanese

Publication date: 19 January 2011

Published in: Automatica (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.automatica.2010.07.006

zbMATH Keywords

optimal filteringfilter design from dataset membership estimation

Mathematics Subject Classification ID

Filtering in stochastic control theory (93E11) Design techniques (robust design, computer-aided design, etc.) (93B51) Discrete-time control/observation systems (93C55) Estimation and detection in stochastic control theory (93E10) Linear systems in control theory (93C05)

Related Items (5)

Leading impulse response identification via the elastic net criterion ⋮ Data-Driven Filter Design for Linear Networked Systems with Bounded Noise ⋮ Optimal estimator design for LTI systems with bounded noises, disturbances, and nonlinearities ⋮ Limited-complexity controller tuning: a set membership data-driven approach ⋮ From Model-Based to Data-Driven Filter Design

Uses Software

• SeDuMi
• YALMIP

Cites Work

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• A -spectral factorization approach for H∞ estimation problems in discrete time
• Optimality, approximation, and complexity in set membership H/sub ∞/ identification
• A linear matrix inequality approach to peak-to-peak gain minimization

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