Ivo Puncochár

Autom., January, 2024

2023

Neural Network Based Active Fault Diagnosis with a Statistical Test.

[BibT_eX]

[DOI]

Ladislav Král

Proceedings of the Advanced, Contemporary Control, 2023

Approximate Bayesian State Estimation for Active Fault Diagnosis of Large-Scale Systems.

[BibT_eX]

[DOI]

Jirí Ajgl

Proceedings of the 26th International Conference on Information Fusion, 2023

Fault Detection in Resilient Time Provision.

[BibT_eX]

[DOI]

Proceedings of the 26th International Conference on Information Fusion, 2023

2022

Distributed design for active fault diagnosis.

[BibT_eX]

[DOI]

Int. J. Syst. Sci., 2022

2020

Decentralized and distributed active fault diagnosis: Multiple model estimation algorithms.

[BibT_eX]

[DOI]

Int. J. Appl. Math. Comput. Sci., 2020

Hierarchical Active Fault Diagnosis for Stochastic Large Scale Systems with Coupled Faults.

[BibT_eX]

[DOI]

Proceedings of the IEEE 23rd International Conference on Information Fusion, 2020

2019

Decentralized and Distributed Active Fault Diagnosis for Stochastic Systems with Indirect Observations.

[BibT_eX]

[DOI]

Proceedings of the 22th International Conference on Information Fusion, 2019

Non-centralized Active Fault Diagnosis for Stochastic Systems.

[BibT_eX]

[DOI]

Proceedings of the 2019 American Control Conference, 2019

2018

Multiple-Model Active Fault Diagnosis with Deferred Decisions.

[BibT_eX]

[DOI]

Proceedings of the 57th IEEE Conference on Decision and Control, 2018

2017

Efficient active fault diagnosis using adaptive particle filter.

[BibT_eX]

[DOI]

Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

2016

Optimal active fault diagnosis by temporal-difference learning.

[BibT_eX]

[DOI]

Frank L. Lewis

Proceedings of the 55th IEEE Conference on Decision and Control, 2016

Directional Splitting for Structure Adaptation of Bayesian Filters.

[BibT_eX]

[DOI]

Jindrich Duník

Proceedings of the 2016 American Control Conference, 2016

2015

Constrained Active Fault Detection and Control.

[BibT_eX]

[DOI]

Jan Siroky

IEEE Trans. Autom. Control., 2015

Use of multiple model change detection for crack detection in Euler-Bernoulli beam.

[BibT_eX]

[DOI]

Marek Feher

Proceedings of the 20th International Conference on Methods and Models in Automation and Robotics, 2015

Infinite time horizon active fault diagnosis based on approximate dynamic programming.

[BibT_eX]

[DOI]

Proceedings of the 54th IEEE Conference on Decision and Control, 2015

2014

On infinite horizon active fault diagnosis for a class of non-linear non-Gaussian systems.

[BibT_eX]

[DOI]

Int. J. Appl. Math. Comput. Sci., 2014

Approximation methods for optimal active fault detection.

[BibT_eX]

[DOI]

Proceedings of the 22nd Mediterranean Conference on Control and Automation, 2014

2011

An optimization approach to resolve the competing aims of active fault detection and control.

[BibT_eX]

[DOI]

Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011

2010

A Suboptimal Fault-tolerant Dual Controller in Multiple Model Framework.

[BibT_eX]

Proceedings of the ICINCO 2010, 2010

2009

Active fault detection and control: Unified formulation and optimal design.

[BibT_eX]

[DOI]

Autom., 2009

2007

Unified solution of optimal active fault detection and optimal control.

[BibT_eX]

[DOI]

Proceedings of the American Control Conference, 2007

2005

Rolling horizon for active fault detection.

[BibT_eX]

[DOI]