Maciej Patan

Eng. Appl. Artif. Intell., 2023

Boundary Iterative Learning Control for Repetitive Spatio-Temporal Processes.

[BibT_eX]

[DOI]

Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

2022

Iterative learning control for vacuum heat treatment process.

[BibT_eX]

[DOI]

Piotr Balik

Proceedings of the 26th International Conference on Methods and Models in Automation and Robotics, 2022

Neural-Network-Based Models Ensemble for Identification in Distributed-Parameter Systems with Application to Elastic Materials Modeling.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2022

Reservoir modeling of distributed-parameter systems.

[BibT_eX]

[DOI]

Proceedings of the 17th International Conference on Control, 2022

Optimal sensor selection for prediction-based iterative learning control of distributed parameter systems.

[BibT_eX]

[DOI]

Proceedings of the 17th International Conference on Control, 2022

Sensor Selection for Minimizing the Condition Number with Guaranteed E-Efficiency.

[BibT_eX]

[DOI]

Proceedings of the 61st IEEE Conference on Decision and Control, 2022

2021

Neural-network-based nonlinear iterative learning control: Magnetic brake study.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2021

Maximin Efficient Sensor Location for Parameter Estimation of Spatiotemporal Systems.

[BibT_eX]

[DOI]

Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

2020

Sensor Fault-Tolerant Control Design for Magnetic Brake System.

[BibT_eX]

[DOI]

Sensors, 2020

Robustness of Neural-Network-based Nonlinear Iterative Learning Control.

[BibT_eX]

[DOI]

Proceedings of the 16th International Conference on Control, 2020

Iterative learning control for distributed parameter systems using sensor-actuator network.

[BibT_eX]

[DOI]

Proceedings of the 16th International Conference on Control, 2020

2019

Iterative learning control of deflections in vibrating beam.

[BibT_eX]

[DOI]

Robert Maniarski

Proceedings of the 24th International Conference on Methods and Models in Automation and Robotics, 2019

Sensor Location for Parameter Estimation of Spatiotemporal Systems with Correlated Observations.

[BibT_eX]

[DOI]

Proceedings of the 58th IEEE Conference on Decision and Control, 2019

Iterative learning control of the displacements of a cantilever beam.

[BibT_eX]

[DOI]

Proceedings of the 58th IEEE Conference on Decision and Control, 2019

Generalized Simplicial Decomposition for Optimal Sensor Selection in Parameter Estimation of Spatiotemporal Processes.

[BibT_eX]

[DOI]

Proceedings of the 2019 American Control Conference, 2019

Neural-network-based high-order iterative learning control.

[BibT_eX]

[DOI]

Proceedings of the 2019 American Control Conference, 2019

2018

Distributed scheduling of measurements in a sensor network for parameter estimation of spatio-temporal systems.

[BibT_eX]

[DOI]

Int. J. Appl. Math. Comput. Sci., 2018

Application of Iterative Learning Methods to Control of a LEGO Wheeled Mobile Robot.

[BibT_eX]

[DOI]

Robert Maniarski

Wojciech Paszke

Proceedings of the 23rd International Conference on Methods & Models in Automation & Robotics, 2018

Remote Control of Robotic Manipulator Under Delays in Communication Channel.

[BibT_eX]

[DOI]

Proceedings of the 23rd International Conference on Methods & Models in Automation & Robotics, 2018

Design and convergence of iterative learning control based on neural networks.

[BibT_eX]

[DOI]

Proceedings of the 16th European Control Conference, 2018

Iterative Learning Control of Repetitive Transverse Loads in Elastic Materials.

[BibT_eX]

[DOI]

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

2017

Robust sensor location for parameter estimation in iterative learning control of spatio-temporal systems.

[BibT_eX]

[DOI]

Proceedings of the 10th International Workshop on Multidimensional (nD) Systems (nDS), 2017

Distributed design of sensor network for abnormal state detection in distributed parameter systems.

[BibT_eX]

[DOI]

Proceedings of the Trends in Advanced Intelligent Control, Optimization and Automation - Proceedings of KKA 2017, 2017

A sparsity-enforcing method for optimal node activation in parameter estimation of spatiotemporal processes.

[BibT_eX]

[DOI]

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

2016

Optimal sensor selection for model identification in iterative learning control of spatio-temporal systems.

[BibT_eX]

[DOI]

Proceedings of the 21st International Conference on Methods and Models in Automation and Robotics, 2016

Communication scheduling for fast distributed averaging in sensor networks.

[BibT_eX]

[DOI]

Adam Romanek

Proceedings of the International Symposium on Wireless Communication Systems, 2016

D-optimal spatio-temporal sampling design for identification of distributed parameter systems.

[BibT_eX]

[DOI]

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

Optimum training design for neural network in synthesis of robust model predictive control.

[BibT_eX]

[DOI]

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

Cost-constrained D-optimum node activation for large-scale monitoring networks.

[BibT_eX]

[DOI]

Proceedings of the 2016 American Control Conference, 2016

2015

Sequential design for model calibration in iterative learning control of DC motor.

[BibT_eX]

[DOI]

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

2014

Decentralized multi-exchange scheduling of sensor networks for parameter estimation of distributed systems.

[BibT_eX]

[DOI]

Adam Romanek

Proceedings of the 19th International Conference On Methods and Models in Automation and Robotics, 2014

Robust sensor scheduling via iterative design for parameter estimation of distributed systems.

[BibT_eX]

[DOI]

Proceedings of the 19th International Conference On Methods and Models in Automation and Robotics, 2014

2012

Distributed scheduling of sensor networks for identification of spatio-temporal processes.

[BibT_eX]

[DOI]

Int. J. Appl. Math. Comput. Sci., 2012

2010

Sensor network design for the estimation of spatially distributed processes.

[BibT_eX]

[DOI]

Int. J. Appl. Math. Comput. Sci., 2010

Selection of Training Data for Locally Recurrent Neural Network.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks, 2010

Time-constrained sensor scheduling for parameter estimation of distributed systems.

[BibT_eX]

[DOI]

Proceedings of the 49th IEEE Conference on Decision and Control, 2010

2009

Corrigendum to "Stability Analysis and the Stabilization of a Class of Discrete-Time Dynamic Neural Networks".

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks, 2009

Optimal Training Sequences for Locally Recurrent Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks, 2009

2008

Configuring A Sensor Network for Fault Detection in Distributed Parameter Systems.

[BibT_eX]

[DOI]

Int. J. Appl. Math. Comput. Sci., 2008

Optimal scheduling of mobile sensor networks for detection and localization of stationary contamination sources.

[BibT_eX]

[DOI]

Dariusz Uciriski

Proceedings of the 11th International Conference on Information Fusion, 2008

A Parallel Sensor Scheduling Technique for Fault Detection in Distributed Parameter Systems.

[BibT_eX]

[DOI]

Proceedings of the Euro-Par 2008, 2008

D-optimal trajectory design of heterogeneous mobile sensors for parameter estimation of distributed systems.

[BibT_eX]

[DOI]

Proceedings of the American Control Conference, 2008

2007

D-optimal design of a monitoring network for parameter estimation of distributed systems.

[BibT_eX]

[DOI]

J. Glob. Optim., 2007

Optimum experimental designs for dynamic systems in the presence of correlated errors.

[BibT_eX]

[DOI]

Barbara Bogacka

Comput. Stat. Data Anal., 2007

2006

Optimal activation policies for continuous scanning observations in parameter estimation of distributed systems.

[BibT_eX]

[DOI]

Int. J. Syst. Sci., 2006

2003

Robust Activation Strategy of Scanning Sensors via Sequential Design in Parameter Estimation of Distributed Systems.

[BibT_eX]

[DOI]

Proceedings of the Parallel Processing and Applied Mathematics, 2003

Discrimination between Models of Distributed Parameter Systems Using T-optimum Experimental Design.

[BibT_eX]

[DOI]

Bartosz Kuczewski

Proceedings of the Parallel Processing and Applied Mathematics, 2003

2001

Optimal Location of Sensors for Parameter Estimation of Static Distributed Systems.

[BibT_eX]

[DOI]