Piotr M. Marusak - researchr alias

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Viewing Publication 1 - 35 from 35

2023

2021

A numerically efficient fuzzy MPC algorithm with fast generation of the control signalPiotr M. Marusak. amcs, 31(1):59-71, 2021. [doi]

Advanced Construction of the Dynamic Matrix in Numerically Efficient Fuzzy MPC AlgorithmsPiotr M. Marusak. algorithms, 14(1):25, 2021. [doi]

2020

Evaluation of the Control Improvement Benefits for Campaign Profiles - Nitric Acid Production ExamplePawel D. Domanski, Sebastian Golonka, Piotr M. Marusak, Bartosz Moszowski, Ewa Wolff. kka 2020: 1030-1042 [doi]

Numerically Efficient Fuzzy MPC Algorithm with Advanced Generation of Prediction - Application to a Chemical ReactorPiotr M. Marusak. algorithms, 13(6):143, 2020. [doi]

2018

Block-Structured Models Composed of Nonlinear Fuzzy Dynamic and Static Parts - a Case StudyPiotr Bazydlo, Piotr M. Marusak. jamris, 12(1):50-60, 2018. [doi]

2017

Estimation of control improvement benefit with α-stable distributionPawel D. Domanski, Piotr M. Marusak. kka 2017: 128-137 [doi]

2016

Output Constraint Handling in Analytical MPC Algorithms Based on Hammerstein Models with Presumed Trajectory of Future Control ChangesPiotr M. Marusak. bueroautomation 2016: 351-361 [doi]

Design and implementation of the air/water heat pump controller with increased coefficient of performancePiotr Tatjewski, Maciej Lawrynczuk, Piotr M. Marusak, Marian Rubik, Piotr Zietek, Maciej Szumski, Michal Szumski. saga 2016: 959-964 [doi]

2014

Efficient Mechanism of Output Constraint Handling for Analytical Predictive Controllers Based on Hammerstein ModelsPiotr M. Marusak. In Roman Szewczyk, Cezary Zielinski, Malgorzata Kaliczynska, editors, Recent Advances in Automation, Robotics and Measuring Techniques. Volume 267 of Advances in Intelligent Systems and Computing, pages 137-146, Springer, 2014. [doi]

Methods of Prediction Improvement in Efficient MPC Algorithms Based on Fuzzy Hammerstein ModelsPiotr M. Marusak. tcci, 14:158-179, 2014. [doi]

2013

Disturbance Measurement Utilization in the Efficient MPC Algorithm with Fuzzy Approximations of Nonlinear ModelsPiotr M. Marusak. icannga 2013: 307-316 [doi]

2012

Nonlinear extended output feedback control for CSTRs with van de Vusse reactionSuwat Kuntanapreeda, Piotr M. Marusak. cce, 41:10-23, 2012. [doi]

Efficient MPC Algorithms Based on Fuzzy Wiener Models and Advanced Methods of Prediction GenerationPiotr M. Marusak. icaisc 2012: 292-300 [doi]

2011

Efficient Predictive Control and Set-Point Optimization Based on a Single Fuzzy ModelPiotr M. Marusak. icannga 2011: 215-224 [doi]

Advanced Prediction Method in Efficient MPC Algorithm Based on Fuzzy Hammerstein ModelsPiotr M. Marusak. iccci 2011: 193-202 [doi]

Numerically Efficient Analytical MPC Algorithm Based on Fuzzy Hammerstein ModelsPiotr M. Marusak. icannga 2011: 177-185 [doi]

2010

2009

On improving dependability of the numerical GPC algorithmPiotr Gawkowski, Maciej Lawrynczuk, Piotr M. Marusak, Piotr Tatjewski, Janusz Sosnowski. eucc 2009: 1377-1382 [doi]

Advantages of an easy to design fuzzy predictive algorithm in control systems of nonlinear chemical reactorsPiotr M. Marusak. asc, 9(3):1111-1125, 2009. [doi]

Effective Dual-Mode Fuzzy DMC Algorithms with On-Line Quadratic Optimization and Guaranteed StabilityPiotr M. Marusak, Piotr Tatjewski. amcs, 19(1):127-142, 2009. [doi]

Efficient Model Predictive Control Algorithm with Fuzzy Approximations of Nonlinear ModelsPiotr M. Marusak. icannga 2009: 448-457 [doi]

Machine Tuning of Stable Analytical Fuzzy Predictive ControllersPiotr M. Marusak. icannga 2009: 430-439 [doi]

Integrated predictive optimiser and constraint supervisor for processes with basic feedback controlPiotr Tatjewski, Maciej Lawrynczuk, Piotr M. Marusak. eucc 2009: 3359-3364 [doi]

2008

2003

Stable, effective fuzzy DMC algorithms with on-line quadratic optimizationPiotr M. Marusak, Piotr Tatjewski. amcc 2003: 3513-3518 [doi]

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