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Piotr M. Marusak
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2020 – today
- 2024
- [j13]Sebastian Plamowski
, Robert Nebeluk
Methodology for Conducting a Study of the Vulnerability of PLC Control Algorithms to Cyber Attacks. IEEE Access 12: 135551-135563 (2024) - [j12]Piotr M. Marusak
Efficient Cyberattack Detection Methods in Industrial Control Systems. Sensors 24(12): 3860 (2024) - 2023
- [j11]Krzysztof Zarzycki
GAN Neural Networks Architectures for Testing Process Control Industrial Network Against Cyber-Attacks. IEEE Access 11: 49587-49600 (2023) - [j10]Krzysztof Zarzycki
Forgery Cyber-Attack Supported by LSTM Neural Network: An Experimental Case Study. Sensors 23(15): 6778 (2023) - 2021
- [j9]Piotr M. Marusak
Advanced Construction of the Dynamic Matrix in Numerically Efficient Fuzzy MPC Algorithms. Algorithms 14(1): 25 (2021) - [j8]Piotr M. Marusak
A numerically efficient fuzzy MPC algorithm with fast generation of the control signal. Int. J. Appl. Math. Comput. Sci. 31(1): 59-71 (2021) - 2020
- [j7]Piotr M. Marusak
Numerically Efficient Fuzzy MPC Algorithm with Advanced Generation of Prediction - Application to a Chemical Reactor. Algorithms 13(6): 143 (2020) - [c24]Pawel D. Domanski, Sebastian Golonka, Piotr M. Marusak
Evaluation of the Control Improvement Benefits for Campaign Profiles - Nitric Acid Production Example. KKA 2020: 1030-1042
2010 – 2019
- 2018
- [j6]Piotr Bazydlo, Piotr M. Marusak
Block-Structured Models Composed of Nonlinear Fuzzy Dynamic and Static Parts - a Case Study. J. Autom. Mob. Robotics Intell. Syst. 12(1): 50-60 (2018) - 2017
- [c23]Pawel D. Domanski, Piotr M. Marusak
Estimation of control improvement benefit with α-stable distribution. KKA 2017: 128-137 - 2016
- [c22]Piotr M. Marusak
Output Constraint Handling in Analytical MPC Algorithms Based on Hammerstein Models with Presumed Trajectory of Future Control Changes. AUTOMATION 2016: 351-361 - [c21]Piotr Tatjewski
Design and implementation of the air/water heat pump controller with increased coefficient of performance. MMAR 2016: 959-964 - 2014
- [j5]Piotr M. Marusak
Methods of Prediction Improvement in Efficient MPC Algorithms Based on Fuzzy Hammerstein Models. Trans. Comput. Collect. Intell. 14: 158-179 (2014) - [p1]Piotr M. Marusak
Efficient Mechanism of Output Constraint Handling for Analytical Predictive Controllers Based on Hammerstein Models. Recent Advances in Automation, Robotics and Measuring Techniques 2014: 137-146 - 2013
- [c20]Piotr M. Marusak
Disturbance Measurement Utilization in the Efficient MPC Algorithm with Fuzzy Approximations of Nonlinear Models. ICANNGA 2013: 307-316 - 2012
- [j4]Suwat Kuntanapreeda
Nonlinear extended output feedback control for CSTRs with van de Vusse reaction. Comput. Chem. Eng. 41: 10-23 (2012) - [c19]Piotr M. Marusak
Efficient MPC Algorithms Based on Fuzzy Wiener Models and Advanced Methods of Prediction Generation. ICAISC (1) 2012: 292-300 - 2011
- [c18]Piotr M. Marusak
Numerically Efficient Analytical MPC Algorithm Based on Fuzzy Hammerstein Models. ICANNGA (2) 2011: 177-185 - [c17]Piotr M. Marusak
Efficient Predictive Control and Set-Point Optimization Based on a Single Fuzzy Model. ICANNGA (2) 2011: 215-224 - [c16]Piotr M. Marusak
Advanced Prediction Method in Efficient MPC Algorithm Based on Fuzzy Hammerstein Models. ICCCI (1) 2011: 193-202 - 2010
- [c15]Piotr M. Marusak
On Prediction Generation in Efficient MPC Algorithms Based on Fuzzy Hammerstein Models. ICAISC (1) 2010: 136-143 - [c14]Piotr M. Marusak
A Mechanism of Output Constraint Handling for Analytical Fuzzy Controllers. IEA/AIE (2) 2010: 222-227 - [c13]Piotr Gawkowski
Testing Fault Robustness of Model Predictive Control Algorithms. ISARCS 2010: 109-124 - [c12]Piotr M. Marusak
Disturbance Measurement Utilization in Easily Reconfigurable Fuzzy Predictive Controllers: Sensor Fault Tolerance and Other Benefits. RSCTC 2010: 551-559 - [c11]Piotr M. Marusak
Application of Fuzzy Wiener Models in Efficient MPC Algorithms. RSCTC 2010: 669-677
2000 – 2009
- 2009
- [j3]Piotr M. Marusak
Effective Dual-Mode Fuzzy DMC Algorithms with On-Line Quadratic Optimization and Guaranteed Stability. Int. J. Appl. Math. Comput. Sci. 19(1): 127-142 (2009) - [j2]Piotr M. Marusak
Advantages of an easy to design fuzzy predictive algorithm in control systems of nonlinear chemical reactors. Appl. Soft Comput. 9(3): 1111-1125 (2009) - [c10]Piotr Gawkowski
On improving dependability of the numerical GPC algorithm. ECC 2009: 1377-1382 - [c9]Piotr Tatjewski
Integrated predictive optimiser and constraint supervisor for processes with basic feedback control. ECC 2009: 3359-3364 - [c8]Piotr M. Marusak
Machine Tuning of Stable Analytical Fuzzy Predictive Controllers. ICANNGA 2009: 430-439 - [c7]Piotr M. Marusak
Efficient Model Predictive Control Algorithm with Fuzzy Approximations of Nonlinear Models. ICANNGA 2009: 448-457 - [c6]Piotr Marek Marusak
Efficient Predictive Control Algorithm Based on Fuzzy Hammerstein Models: A Case Study. WSC 2009: 11-20 - 2008
- [j1]Piotr M. Marusak
Actuator Fault Tolerance in Control Systems with Predictive Constrained Set-Point Optimizers. Int. J. Appl. Math. Comput. Sci. 18(4): 539-552 (2008) - [c5]Piotr Gawkowski
Dependability Comparison of Explicit and Numerical GPC Algorithms. EIAT/IETA 2008: 419-424 - [c4]Maciej Lawrynczuk
Efficient Predictive Control Algorithms Based on Soft Computing Approaches: Application to Glucose Concentration Stabilization. EIAT/IETA 2008: 425-430 - [c3]Piotr M. Marusak:
Efficient Fuzzy Predictive Economic Set-Point Optimizer. ICAISC 2008: 273-284 - [c2]Piotr M. Marusak
Easily Reconfigurable Analytical Fuzzy Predictive Controllers: Actuator Faults Handling. ISICA 2008: 396-405 - 2003
- [c1]Piotr M. Marusak, Piotr Tatjewski:
Stable, effective fuzzy DMC algorithms with on-line quadratic optimization. ACC 2003: 3513-3518
Coauthor Index
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