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2020 – today
- 2024
[c40]Piotr Balik, Kamil Klimkowicz, Maciej Patan:
Multi-objective iterative learning control with application to vacuum heat treatment process. MMAR 2024: 276-281- 2023
- [j10]Krzysztof Patan
, Maciej Patan:
Fault-tolerant design of non-linear iterative learning control using neural networks. Eng. Appl. Artif. Intell. 124: 106501 (2023) - [c39]Maciej Patan, Kamil Klimkowicz, Krzysztof Patan, Eric Rogers:
Boundary Iterative Learning Control for Repetitive Spatio-Temporal Processes. CDC 2023: 4632-4637 - 2022
- [c38]Dariusz Ucinski, Maciej Patan:
Sensor Selection for Minimizing the Condition Number with Guaranteed E-Efficiency. CDC 2022: 6730-6735 - [c37]Krzysztof Patan, Maciej Patan:
Reservoir modeling of distributed-parameter systems. ICARCV 2022: 198-203 - [c36]Maciej Patan, Kamil Klimkowicz, Krzysztof Patan:
Optimal sensor selection for prediction-based iterative learning control of distributed parameter systems. ICARCV 2022: 449-454 - [c35]Krzysztof Patan, Maciej Patan:
Neural-Network-Based Models Ensemble for Identification in Distributed-Parameter Systems with Application to Elastic Materials Modeling. IJCNN 2022: 1-8 - [c34]Piotr Balik, Kamil Klimkowicz, Maciej Patan:
Iterative learning control for vacuum heat treatment process. MMAR 2022: 47-52 - 2021
- [c33]Dariusz Ucinski, Maciej Patan:
Maximin Efficient Sensor Location for Parameter Estimation of Spatiotemporal Systems. CDC 2021: 2601-2606 - [c32]Krzysztof Patan, Maciej Patan:
Neural-network-based nonlinear iterative learning control: Magnetic brake study. IJCNN 2021: 1-7 - 2020
- [j9]Krzysztof Patan, Maciej Patan, Kamil Klimkowicz:
Sensor Fault-Tolerant Control Design for Magnetic Brake System. Sensors 20(16): 4598 (2020) - [c31]Krzysztof Patan, Maciej Patan:
Robustness of Neural-Network-based Nonlinear Iterative Learning Control. ICARCV 2020: 578-583 - [c30]Maciej Patan, Kamil Klimkowicz, Krzysztof Patan:
Iterative learning control for distributed parameter systems using sensor-actuator network. ICARCV 2020: 1200-1205
2010 – 2019
- 2019
- [c29]Maciej Patan, Dariusz Ucinski:
Generalized Simplicial Decomposition for Optimal Sensor Selection in Parameter Estimation of Spatiotemporal Processes. ACC 2019: 2546-2551 - [c28]Krzysztof Patan, Maciej Patan:
Neural-network-based high-order iterative learning control. ACC 2019: 2873-2878 - [c27]Dariusz Ucinski, Maciej Patan:
Sensor Location for Parameter Estimation of Spatiotemporal Systems with Correlated Observations. CDC 2019: 1189-1194 - [c26]Maciej Patan, Kamil Klimkowicz, Robert Maniarski, Krzysztof Patan, Eric Rogers:
Iterative learning control of the displacements of a cantilever beam. CDC 2019: 5593-5598 - [c25]Kamil Klimkowicz, Robert Maniarski, Maciej Patan:
Iterative learning control of deflections in vibrating beam. MMAR 2019: 215-220 - 2018
- [j8]Maciej Patan, Damian Kowalow:
Distributed scheduling of measurements in a sensor network for parameter estimation of spatio-temporal systems. Int. J. Appl. Math. Comput. Sci. 28(1): 39-54 (2018) - [c24]Maciej Patan, Krzysztof Patan, Krzysztof Galkowski, Eric Rogers:
Iterative Learning Control of Repetitive Transverse Loads in Elastic Materials. CDC 2018: 5270-5275 - [c23]Krzysztof Patan, Maciej Patan:
Design and convergence of iterative learning control based on neural networks. ECC 2018: 1-6 - [c22]Robert Maniarski, Wojciech Paszke, Maciej Patan:
Application of Iterative Learning Methods to Control of a LEGO Wheeled Mobile Robot. MMAR 2018: 126-131 - [c21]Kamil Klimkowicz, Maciej Patan:
Remote Control of Robotic Manipulator Under Delays in Communication Channel. MMAR 2018: 703-708 - 2017
- [c20]Maciej Patan, Dariusz Ucinski:
A sparsity-enforcing method for optimal node activation in parameter estimation of spatiotemporal processes. CDC 2017: 3089-3094 - [c19]Damian Kowalow, Maciej Patan:
Distributed design of sensor network for abnormal state detection in distributed parameter systems. KKA 2017: 621-630 - [c18]Damian Kowalow, Maciej Patan:
Robust sensor location for parameter estimation in iterative learning control of spatio-temporal systems. nDS 2017: 1-6 - 2016
- [c17]Maciej Patan, Dariusz Ucinski:
Cost-constrained D-optimum node activation for large-scale monitoring networks. ACC 2016: 1643-1648 - [c16]Krzysztof Patan, Maciej Patan, Damian Kowalow:
Optimum training design for neural network in synthesis of robust model predictive control. CDC 2016: 3401-3406 - [c15]Maciej Patan, Dariusz Ucinski:
D-optimal spatio-temporal sampling design for identification of distributed parameter systems. CDC 2016: 3985-3990 - [c14]Maciej Patan, Adam Romanek:
Communication scheduling for fast distributed averaging in sensor networks. ISWCS 2016: 109-113 - [c13]Damian Kowalow, Maciej Patan:
Optimal sensor selection for model identification in iterative learning control of spatio-temporal systems. MMAR 2016: 70-75 - 2015
- [c12]Damian Kowalow, Maciej Patan, Wojciech Paszke, Adam Romanek:
Sequential design for model calibration in iterative learning control of DC motor. MMAR 2015: 794-799 - 2014
- [c11]Maciej Patan, Damian Kowalow:
Robust sensor scheduling via iterative design for parameter estimation of distributed systems. MMAR 2014: 618-623 - [c10]Adam Romanek, Maciej Patan:
Decentralized multi-exchange scheduling of sensor networks for parameter estimation of distributed systems. MMAR 2014: 624-629 - 2012
- [j7]Maciej Patan:
Distributed scheduling of sensor networks for identification of spatio-temporal processes. Int. J. Appl. Math. Comput. Sci. 22(2): 299-311 (2012) - 2010
- [j6]Dariusz Ucinski, Maciej Patan:
Sensor network design for the estimation of spatially distributed processes. Int. J. Appl. Math. Comput. Sci. 20(3): 459-481 (2010) - [c9]Maciej Patan, Dariusz Ucinski:
Time-constrained sensor scheduling for parameter estimation of distributed systems. CDC 2010: 7-12 - [c8]Krzysztof Patan, Maciej Patan:
Selection of Training Data for Locally Recurrent Neural Network. ICANN (2) 2010: 134-137
2000 – 2009
- 2009
- [j5]Krzysztof Patan, Maciej Patan:
Corrigendum to "Stability Analysis and the Stabilization of a Class of Discrete-Time Dynamic Neural Networks". IEEE Trans. Neural Networks 20(3): 547-548 (2009) - [c7]Krzysztof Patan, Maciej Patan:
Optimal Training Sequences for Locally Recurrent Neural Networks. ICANN (1) 2009: 80-89 - 2008
- [j4]Maciej Patan, Dariusz Ucinski:
Configuring A Sensor Network for Fault Detection in Distributed Parameter Systems. Int. J. Appl. Math. Comput. Sci. 18(4): 513-524 (2008) - [c6]Christophe Tricaud, Maciej Patan, Dariusz Ucinski, Yangquan Chen:
D-optimal trajectory design of heterogeneous mobile sensors for parameter estimation of distributed systems. ACC 2008: 663-668 - [c5]Maciej Patan:
A Parallel Sensor Scheduling Technique for Fault Detection in Distributed Parameter Systems. Euro-Par 2008: 833-843 - [c4]Maciej Patan, Dariusz Uciriski:
Optimal scheduling of mobile sensor networks for detection and localization of stationary contamination sources. FUSION 2008: 1-7 - 2007
- [j3]Maciej Patan, Barbara Bogacka:
Optimum experimental designs for dynamic systems in the presence of correlated errors. Comput. Stat. Data Anal. 51(12): 5644-5661 (2007) - [j2]Dariusz Ucinski, Maciej Patan:
D-optimal design of a monitoring network for parameter estimation of distributed systems. J. Glob. Optim. 39(2): 291-322 (2007) - 2006
- [j1]Maciej Patan:
Optimal activation policies for continuous scanning observations in parameter estimation of distributed systems. Int. J. Syst. Sci. 37(11): 763-775 (2006) - 2003
- [c3]Bartosz Kuczewski, Maciej Patan, Dariusz Ucinski:
Discrimination between Models of Distributed Parameter Systems Using T-optimum Experimental Design. PPAM 2003: 762-769 - [c2]Maciej Patan, Dariusz Ucinski:
Robust Activation Strategy of Scanning Sensors via Sequential Design in Parameter Estimation of Distributed Systems. PPAM 2003: 770-778 - 2001
- [c1]Maciej Patan, Dariusz Ucinski:
Optimal Location of Sensors for Parameter Estimation of Static Distributed Systems. PPAM 2001: 729-737
Coauthor Index
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