On the public citation graph

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

https://doi.org/10.1016/j.automatica.2010.07.006

0 signed · 55 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.

Claim with ORCID

Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.

See reference health

What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/(sici)1099-1239(199611)6:9/10<899::aid-rnc259>3.0.co;2-gopenalex-snapshot

A linear matrix inequality approach to peak-to-peak gain minimization

inferredcites →https://doi.org/10.1007/978-1-4615-2025-2openalex-snapshot

Handbook of Global Optimization

inferredcites →https://doi.org/10.1016/0005-1098(89)90019-8openalex-snapshot

System identification—Theory for the user

inferredcites →https://doi.org/10.1016/0005-1098(91)90134-nopenalex-snapshot

Optimal estimation theory for dynamic systems with set membership uncertainty

inferredcites →https://doi.org/10.1016/0005-1098(94)00123-zopenalex-snapshot

On optimal ℓ∞ to ℓ∞ filtering

inferredcites →https://doi.org/10.1016/j.automatica.2004.01.003openalex-snapshot

Improved robust H2 and H∞ filtering for uncertain discrete-time systems

inferredcites →https://doi.org/10.1016/j.automatica.2006.06.004openalex-snapshot

Robust H 2 and H ∞ filtering for uncertain linear systems

inferredcites →https://doi.org/10.1016/j.automatica.2009.06.014openalex-snapshot

The filter design from data (FD2) problem: Nonlinear Set Membership approach

inferredcites →https://doi.org/10.1016/s1474-6670(17)58384-6openalex-snapshot

Mixed H 2 / H ∞ Estimation: Preliminary Analytic Characterization and a Numerical Solution

inferredcites →https://doi.org/10.1016/s1474-6670(17)58385-8openalex-snapshot

Discrete-Time Estimators with Guaranteed Peak-To-Peak Performance

inferredcites →https://doi.org/10.1017/cbo9780511804441openalex-snapshot

Convex Optimization

inferredcites →https://doi.org/10.1080/10556789908805766openalex-snapshot

Using SeDuMi 1.02, A Matlab toolbox for optimization over symmetric cones

inferredcites →https://doi.org/10.1109/29.57538openalex-snapshot

Solution of the H/sub infinity / optimal linear filtering problem for discrete-time systems

inferredcites →https://doi.org/10.1109/7.625133openalex-snapshot

Reduced-order H/sub /spl infin// and L/sub 2/-L/sub /spl infin// filtering via linear matrix inequalities

inferredcites →https://doi.org/10.1109/78.485923openalex-snapshot

H/sup ∞/ optimality of the LMS algorithm

inferredcites →https://doi.org/10.1109/9.100935openalex-snapshot

A transfer function approach to the problems of discrete-time systems: H/sub infinity /-optimal linear control and filtering

inferredcites →https://doi.org/10.1109/9.481605openalex-snapshot

Linear estimation in Krein spaces. I. Theory

inferredcites →https://doi.org/10.1109/9.536517openalex-snapshot

Optimal l/sub ∞/ to l/sub ∞/ estimation for periodic systems

inferredcites →https://doi.org/10.1109/acc.1997.611971openalex-snapshot

Optimal unbiased filtering via linear matrix inequalities

inferredcites →https://doi.org/10.1109/acc.2006.1657422openalex-snapshot

Filter design from data: direct vs. two-step approaches

inferredcites →https://doi.org/10.1109/cacsd.2004.1393890openalex-snapshot

YALMIP : a toolbox for modeling and optimization in MATLAB

inferredcites →https://doi.org/10.1109/cdc.1992.371384openalex-snapshot

H/sub infinity /-optimal estimation: a tutorial

inferredcites →https://doi.org/10.1109/tac.2002.803535openalex-snapshot

Optimality, approximation, and complexity in set membership H/sub ∞/ identification

inferredcites →https://doi.org/10.1109/tac.2002.805666openalex-snapshot

A -spectral factorization approach for H∞ estimation problems in discrete time

inferredcites →https://doi.org/10.1115/1.3426967openalex-snapshot

Feedback Systems: Input-Output Properties

inferredcites →https://doi.org/10.1126/science.243.4895.1142-aopenalex-snapshot

Information-Based Complexity

inferredcites →https://doi.org/10.23919/ecc.2007.7068662openalex-snapshot

Linear virtual sensors for vertical dynamics of vehicles with controlled suspensions

inferredcites →https://doi.org/10.23919/ecc.2009.7075095openalex-snapshot

Direct data-driven filter design for automotive controlled suspensions

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4621330openalex-extracted

A Novel State Estimation for Systems Under Strong Noise Based on Fractional-Order Chaos Oscillator

inferred← citeshttps://doi.org/10.1002/acs.1229openalex-snapshot

Adaptive control and signal processing literature survey (No. 22)

inferred← citeshttps://doi.org/10.1002/rnc.1675openalex-snapshot

Robust and nonlinear control literature survey (No. 22)

inferred← citeshttps://doi.org/10.1007/978-1-4614-7385-5_16openalex-snapshot

From Model-Based to Data-Driven Filter Design

inferred← citeshttps://doi.org/10.1007/978-3-662-48386-2_20openalex-snapshot

Data-Driven Filter Design for Linear Networked Systems with Bounded Noise

inferred← citeshttps://doi.org/10.1007/s00034-020-01635-zopenalex-snapshot

Optimal Estimator Design for LTI Systems with Bounded Noises, Disturbances, and Nonlinearities

inferred← citeshttps://doi.org/10.1016/j.automatica.2017.01.011openalex-snapshot

Leading impulse response identification via the Elastic Net criterion

inferred← citeshttps://doi.org/10.1016/j.ejcon.2020.07.002openalex-snapshot

Limited-complexity controller tuning: A set membership data-driven approach

inferred← citeshttps://doi.org/10.1016/j.ifacol.2015.12.211openalex-snapshot

Data-driven Filter Design for Linear Systems with Quantized Measurements

inferred← citeshttps://doi.org/10.1016/j.ifacol.2024.08.517openalex-snapshot

A comparison of indirect and direct filter designs from data for LTI systems: the effect of unknown noise covariance matrices

inferred← citeshttps://doi.org/10.1016/j.ifacol.2024.08.519openalex-snapshot

In-context learning of state estimators

inferred← citeshttps://doi.org/10.1080/00423114.2011.607253openalex-snapshot

Vehicle stability control using direct virtual sensors

inferred← citeshttps://doi.org/10.1109/acc.2014.6858626openalex-snapshot

Controller design from data under UBB noise

inferred← citeshttps://doi.org/10.1109/cdc.2012.6426554openalex-snapshot

Robustly optimal filter design for nonlinear systems

inferred← citeshttps://doi.org/10.1109/cdc.2016.7798705openalex-snapshot

Leading impulse response identification via the weighted elastic net criterion

inferred← citeshttps://doi.org/10.1109/cdc.2018.8618912openalex-snapshot

On the identification of linear time invariant systems with guaranteed simulation error bounds

inferred← citeshttps://doi.org/10.1109/cdc42340.2020.9304276openalex-snapshot

Data-driven filtering for linear systems using Set Membership multistep predictors

inferred← citeshttps://doi.org/10.1109/chicc.2016.7554806openalex-snapshot

Data-driven fault detection for networked control system based on implicit model approach

inferred← citeshttps://doi.org/10.1109/icicip.2011.6008364openalex-snapshot

Data-driven method for Kalman filtering

inferred← citeshttps://doi.org/10.1109/jas.2023.124164openalex-snapshot

Data-Based Filters for Non-Gaussian Dynamic Systems with Unknown Output Noise Covariance

inferred← citeshttps://doi.org/10.1109/tac.2012.2204160openalex-snapshot

Direct Filtering: A New Approach to Optimal Filter Design for Nonlinear Systems

inferred← citeshttps://doi.org/10.1109/tcsi.2018.2831668openalex-snapshot

Data-Driven Filtering for Nonlinear Systems With Bounded Noises and Quantized Measurements

inferred← citeshttps://doi.org/10.1109/tie.2016.2587246openalex-snapshot

Network-Based Data-Driven Filtering With Bounded Noises and Packet Dropouts

inferred← citeshttps://doi.org/10.11144/javeriana.10554.55021openalex-snapshot

Novel data-driven control approaches : application in essential oil extraction processes

inferred← citeshttps://doi.org/10.1177/0959651813489279openalex-snapshot

Data-driven estimation of the inertia moment of wind turbines: A new ice-detection algorithm

inferred← citeshttps://doi.org/10.23919/ecc.2009.7075095openalex-snapshot

Direct data-driven filter design for automotive controlled suspensions

inferred← citeshttps://doi.org/10.3182/20090706-3-fr-2004.00060openalex-snapshot

Direct Data-Driven Filter Design For Uncertain LTI Systems With Bounded Noise

Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.