From Model-Based to Data-Driven Filter Design

DOI10.1007/978-1-4614-7385-5_16zbMath1312.62118OpenAlexW42760472MaRDI QIDQ5251100

Michele Taragna, Fredy Ruiz, Mario Milanese

Publication date: 22 May 2015

Published in: Bounded Noises in Physics, Biology, and Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-1-4614-7385-5_16

zbMATH Keywords

optimal filteringbounded disturbancesfilter design from dataset membership estimationbounded noises

Mathematics Subject Classification ID

Inference from stochastic processes and prediction (62M20) Filtering in stochastic control theory (93E11)

Cites Work

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• Direct data-driven filter design for uncertain LTI systems with bounded noise
• Robust \(H_{2}\) and \(H_{\infty }\) filtering for uncertain linear systems
• Direct design from data of optimal filters for LPV systems
• The filter design from data (FD2) problem: nonlinear set membership approach
• Stochastic models, estimation, and control. Vol. 1
• Optimal estimation theory for dynamic systems with set membership uncertainty: An overview
• Optimal unbiased filtering via linear matrix inequalities
• Improved robust \(H_{2}\) and \(H_{\infty}\) filtering for uncertain discrete-time systems
• On optimal \(\ell^ \infty\) to \(\ell^ \infty\) filtering
• Stochastic processes and filtering theory
• The filter design from data (FD2) problem: parametric-statistical approach
• Solution of the H/sub infinity / optimal linear filtering problem for discrete-time systems
• Filtering and smoothing in an H/sup infinity / setting
• A transfer function approach to the problems of discrete-time systems: H/sub infinity /-optimal linear control and filtering
• Optimal l/sub ∞/ to l/sub ∞/ estimation for periodic systems
• Linear estimation in Krein spaces. I. Theory
• A -spectral factorization approach for H∞ estimation problems in discrete time

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