Optimal Location of Sensors for Parameter Estimation of Static Distributed Systems. - Maciej Patan; Dariusz Ucinski (PPAM, 2001)

Discrimination between Models of Distributed Parameter Systems Using T-optimum Experimental Design. - Bartosz Kuczewski; Maciej Patan; Dariusz Ucinski (PPAM, 2003)

Robust Activation Strategy of Scanning Sensors via Sequential Design in Parameter Estimation of Distributed Systems. - Maciej Patan; Dariusz Ucinski (PPAM, 2003)

Optimal activation policies for continuous scanning observations in parameter estimation of distributed systems. - Maciej Patan (Int. J. Syst. Sci., 2006)

Optimum experimental designs for dynamic systems in the presence of correlated errors. - Maciej Patan; Barbara Bogacka (Comput. Stat. Data Anal., 2007)

D-optimal design of a monitoring network for parameter estimation of distributed systems. - Dariusz Ucinski; Maciej Patan (J. Glob. Optim., 2007)

D-optimal trajectory design of heterogeneous mobile sensors for parameter estimation of distributed systems. - Christophe Tricaud; Maciej Patan; Dariusz Ucinski; Yangquan Chen (ACC, 2008)

A Parallel Sensor Scheduling Technique for Fault Detection in Distributed Parameter Systems. - Maciej Patan (Euro-Par, 2008)

Optimal scheduling of mobile sensor networks for detection and localization of stationary contamination sources. - Maciej Patan; Dariusz Uciriski (FUSION, 2008)

Configuring A Sensor Network for Fault Detection in Distributed Parameter Systems. - Maciej Patan; Dariusz Ucinski (Int. J. Appl. Math. Comput. Sci., 2008)

Optimal Training Sequences for Locally Recurrent Neural Networks. - Krzysztof Patan; Maciej Patan (ICANN (1), 2009)

Corrigendum to "Stability Analysis and the Stabilization of a Class of Discrete-Time Dynamic Neural Networks". - Krzysztof Patan; Maciej Patan (IEEE Trans. Neural Networks, 2009)

Time-constrained sensor scheduling for parameter estimation of distributed systems. - Maciej Patan; Dariusz Ucinski (CDC, 2010)

Selection of Training Data for Locally Recurrent Neural Network. - Krzysztof Patan; Maciej Patan (ICANN (2), 2010)

Sensor network design for the estimation of spatially distributed processes. - Dariusz Ucinski; Maciej Patan (Int. J. Appl. Math. Comput. Sci., 2010)

Distributed scheduling of sensor networks for identification of spatio-temporal processes. - Maciej Patan (Int. J. Appl. Math. Comput. Sci., 2012)

Robust sensor scheduling via iterative design for parameter estimation of distributed systems. - Maciej Patan; Damian Kowalow (MMAR, 2014)

Decentralized multi-exchange scheduling of sensor networks for parameter estimation of distributed systems. - Adam Romanek; Maciej Patan (MMAR, 2014)

Sequential design for model calibration in iterative learning control of DC motor. - Damian Kowalow; Maciej Patan; Wojciech Paszke; Adam Romanek (MMAR, 2015)

Cost-constrained D-optimum node activation for large-scale monitoring networks. - Maciej Patan; Dariusz Ucinski (ACC, 2016)

Optimum training design for neural network in synthesis of robust model predictive control. - Krzysztof Patan; Maciej Patan; Damian Kowalow (CDC, 2016)

D-optimal spatio-temporal sampling design for identification of distributed parameter systems. - Maciej Patan; Dariusz Ucinski (CDC, 2016)

Communication scheduling for fast distributed averaging in sensor networks. - Maciej Patan; Adam Romanek (ISWCS, 2016)

Optimal sensor selection for model identification in iterative learning control of spatio-temporal systems. - Damian Kowalow; Maciej Patan (MMAR, 2016)

A sparsity-enforcing method for optimal node activation in parameter estimation of spatiotemporal processes. - Maciej Patan; Dariusz Ucinski (CDC, 2017)

Distributed design of sensor network for abnormal state detection in distributed parameter systems. - Damian Kowalow; Maciej Patan (KKA, 2017)

Robust sensor location for parameter estimation in iterative learning control of spatio-temporal systems. - Damian Kowalow; Maciej Patan (nDS, 2017)

Iterative Learning Control of Repetitive Transverse Loads in Elastic Materials. - Maciej Patan; Krzysztof Patan; Krzysztof Galkowski; Eric Rogers (CDC, 2018)

Design and convergence of iterative learning control based on neural networks. - Krzysztof Patan; Maciej Patan (ECC, 2018)

Remote Control of Robotic Manipulator Under Delays in Communication Channel. - Kamil Klimkowicz; Maciej Patan (MMAR, 2018)

Application of Iterative Learning Methods to Control of a LEGO Wheeled Mobile Robot. - Robert Maniarski; Wojciech Paszke; Maciej Patan (MMAR, 2018)

Distributed scheduling of measurements in a sensor network for parameter estimation of spatio-temporal systems. - Maciej Patan; Damian Kowalow (Int. J. Appl. Math. Comput. Sci., 2018)

Neural-network-based high-order iterative learning control. - Krzysztof Patan; Maciej Patan (ACC, 2019)

Generalized Simplicial Decomposition for Optimal Sensor Selection in Parameter Estimation of Spatiotemporal Processes. - Maciej Patan; Dariusz Ucinski (ACC, 2019)

Iterative learning control of the displacements of a cantilever beam. - Maciej Patan; Kamil Klimkowicz; Robert Maniarski; Krzysztof Patan; Eric Rogers (CDC, 2019)

Sensor Location for Parameter Estimation of Spatiotemporal Systems with Correlated Observations. - Dariusz Ucinski; Maciej Patan (CDC, 2019)

Iterative learning control of deflections in vibrating beam. - Kamil Klimkowicz; Robert Maniarski; Maciej Patan (MMAR, 2019)

Iterative learning control for distributed parameter systems using sensor-actuator network. - Maciej Patan; Kamil Klimkowicz; Krzysztof Patan (ICARCV, 2020)

Robustness of Neural-Network-based Nonlinear Iterative Learning Control. - Krzysztof Patan; Maciej Patan (ICARCV, 2020)

Sensor Fault-Tolerant Control Design for Magnetic Brake System. - Krzysztof Patan; Maciej Patan; Kamil Klimkowicz (Sensors, 2020)

Maximin Efficient Sensor Location for Parameter Estimation of Spatiotemporal Systems. - Dariusz Ucinski; Maciej Patan (CDC, 2021)

Neural-network-based nonlinear iterative learning control: Magnetic brake study. - Krzysztof Patan; Maciej Patan (IJCNN, 2021)

Sensor Selection for Minimizing the Condition Number with Guaranteed E-Efficiency. - Dariusz Ucinski; Maciej Patan (CDC, 2022)

Optimal sensor selection for prediction-based iterative learning control of distributed parameter systems. - Maciej Patan; Kamil Klimkowicz; Krzysztof Patan (ICARCV, 2022)

Reservoir modeling of distributed-parameter systems. - Krzysztof Patan; Maciej Patan (ICARCV, 2022)

Neural-Network-Based Models Ensemble for Identification in Distributed-Parameter Systems with Application to Elastic Materials Modeling. - Krzysztof Patan; Maciej Patan (IJCNN, 2022)

Iterative learning control for vacuum heat treatment process. - Piotr Balik; Kamil Klimkowicz; Maciej Patan (MMAR, 2022)

Boundary Iterative Learning Control for Repetitive Spatio-Temporal Processes. - Maciej Patan; Kamil Klimkowicz; Krzysztof Patan; Eric Rogers (CDC, 2023)

Fault-tolerant design of non-linear iterative learning control using neural networks. - Krzysztof Patan; Maciej Patan (Eng. Appl. Artif. Intell., 2023)

Fault diagnosis of the vibrating beam system via multimodel neural ensembles. - Krzysztof Patan; Maciej Patan; Piotr Balik (ASCC, 2024)

Fault-tolerant iterative learning control of distributed systems via reservoir computing. - Krzysztof Patan; Maciej Patan (CDC, 2024)

Sensor Selection with Correlated Observations via Convex Relaxation. - Dariusz Ucinski; Maciej Patan (CDC, 2024)

Multi-objective iterative learning control with application to vacuum heat treatment process. - Piotr Balik; Kamil Klimkowicz; Maciej Patan (MMAR, 2024)