ERD

Informativity conditions for data-driven control based on input-state data and polyhedral cross-covariance noise bounds

Project: SYSDYNET

Updated at: 27-04-2024

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Project acronym SYSDYNET

A scalable multi-step least squares method for network identification with unknown disturbance topology

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Updated at: 27-04-2024

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Abstractions of linear dynamic networks for input selection in local module identification

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Updated at: 27-04-2024

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Identification of dynamic networks with rank-reduced process noise * *This work has received funding from the European R...

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Updated at: 27-04-2024

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Data-driven distributed control: Virtual reference feedback tuning in dynamic networks

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Updated at: 27-04-2024

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Bayesian topology identification of linear dynamic networks

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Updated at: 27-04-2024

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Scalable distributed and decentralized H2 controller synthesis for interconnected linear discrete-time systems

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Updated at: 27-04-2024

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Abstractions of linear dynamic networks for input selection in local module identification

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Updated at: 27-04-2024

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A guide to learning modules in a dynamic network

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Updated at: 27-04-2024

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Centralized and distributed identified model based predictive control for Museum Hermitage Amsterdam

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Updated at: 27-04-2024

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Periodic Reporting for period 4 - SYSDYNET (Data-driven Modelling in Dynamic Networks)

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Updated at: 27-04-2024

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Local module identification in dynamic networks with correlated noise: the full input case

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Updated at: 27-04-2024

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Handling unmeasured disturbances in data-driven distributed control with virtual reference feedback tuning

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Updated at: 27-04-2024

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Consistent identification of dynamic networks subject to white noise using Weighted Null-Space Fitting

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Updated at: 27-04-2024

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Identification in dynamic networks

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Updated at: 27-04-2024

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Identifiability of linear dynamic networks

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Updated at: 27-04-2024

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Excitation Allocation for Generic Identifiability of Linear Dynamic Networks With Fixed Modules

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Updated at: 27-04-2024

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Learning linear modules in a dynamic network using regularized kernel-based methods

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Updated at: 27-04-2024

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A regularized kernel-based method for learning a module in a dynamic network with correlated noise

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Updated at: 27-04-2024

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Generalized sensing and actuation schemes for local module identification in dynamic networks

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Updated at: 27-04-2024

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Path-based data-informativity conditions for single module identification in dynamic networks

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Updated at: 27-04-2024

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Data-driven modelling and decentralized H2 control of power networks

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Updated at: 27-04-2024

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Local Module Identification in Dynamic Networks Using Regularized Kernel-Based Methods

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Updated at: 27-04-2024

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Single Module Identifiability in Linear Dynamic Networks

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Updated at: 27-04-2024

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Identification in dynamic networks

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Updated at: 27-04-2024

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Bayesian topology identification of linear dynamic networks

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Updated at: 27-04-2024

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An empirical Bayes approach to identification of modules in dynamic networks

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Updated at: 27-04-2024

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Detecting Nonlinear Modules in a Dynamic Network: A Step-by-Step Procedure

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Updated at: 27-04-2024

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On Representations of Linear Dynamic Networks

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Updated at: 27-04-2024

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On dynamic network modeling of stationary multivariate processes

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Updated at: 27-04-2024

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Resources

Selected filters:

Informativity conditions for data-driven control based on input-state data and polyhedral cross-covariance noise bounds

A scalable multi-step least squares method for network identification with unknown disturbance topology

Abstractions of linear dynamic networks for input selection in local module identification

Identification of dynamic networks with rank-reduced process noise * *This work has received funding from the European R...

Data-driven distributed control: Virtual reference feedback tuning in dynamic networks

Bayesian topology identification of linear dynamic networks

Scalable distributed and decentralized H2 controller synthesis for interconnected linear discrete-time systems

Abstractions of linear dynamic networks for input selection in local module identification

A guide to learning modules in a dynamic network

Centralized and distributed identified model based predictive control for Museum Hermitage Amsterdam

Periodic Reporting for period 4 - SYSDYNET (Data-driven Modelling in Dynamic Networks)

Local module identification in dynamic networks with correlated noise: the full input case

Handling unmeasured disturbances in data-driven distributed control with virtual reference feedback tuning

Consistent identification of dynamic networks subject to white noise using Weighted Null-Space Fitting

Identification in dynamic networks

Identifiability of linear dynamic networks

Excitation Allocation for Generic Identifiability of Linear Dynamic Networks With Fixed Modules

Learning linear modules in a dynamic network using regularized kernel-based methods

A regularized kernel-based method for learning a module in a dynamic network with correlated noise

Generalized sensing and actuation schemes for local module identification in dynamic networks

Path-based data-informativity conditions for single module identification in dynamic networks

Data-driven modelling and decentralized H2 control of power networks

Local Module Identification in Dynamic Networks Using Regularized Kernel-Based Methods

Single Module Identifiability in Linear Dynamic Networks

Identification in dynamic networks

Bayesian topology identification of linear dynamic networks

An empirical Bayes approach to identification of modules in dynamic networks

Detecting Nonlinear Modules in a Dynamic Network: A Step-by-Step Procedure

On Representations of Linear Dynamic Networks

On dynamic network modeling of stationary multivariate processes