P. Marusak

发表

Initialisation of Optimisation Solvers for Nonlinear Model Predictive Control: Classical vs. Hybrid Methods

Maciej Ławryńczuk, P. Marusak, Patryk Chaber, 2022, Energies.

Modeling of Glucose Concentration Dynamics for Predictive Control of Insulin Administration

Piotr Tatjewski, Maciej Ławryńczuk, Piotr M. Marusak, 2010 .

Stability analysis of nonlinear control systems with unconstrained fuzzy predictive controllers

Piotr Tatjewski, Piotr M. Marusak, P. Marusak, 2002 .

Constrained model predictive force control of an electrohydraulic actuator

Piotr M. Marusak, Suwat Kuntanapreeda, S. Kuntanapreeda, 2011 .

Dependability of Explicit DMC and GPC Algorithms

P. Gawkowski, M. Lawrynczuk, P. Marusak, 2007 .

An Integrated Structure with Economic Optimisation and Constrained Model Predictive Control: an Application to a MIMO pH Reactor

M. Lawrynczuk, P. Marusak, P. Tatjewski, 2007, EUROCON 2007 - The International Conference on "Computer as a Tool".

Robust and Asymmetric Assessment of the Benefits from Improved Control – Industrial Validation

Paweł D. Domański, Piotr M. Marusak, Sebastian Golonka, 2018 .

Fault diagnosis and fault tolerant control

Stéphane Ploix, Youmin Zhang, Jean-Marie Flaus, 2007 .

Cooperation of model predictive control with steady-state economic optimisation

Piotr Tatjewski, Maciej Ławryńczuk, Piotr M. Marusak, 2008 .

Efficient Mechanism of Output Constraint Handling for Analytical Predictive Controllers Based on Hammerstein Models

Piotr M. Marusak, P. Marusak, 2014, Recent Advances in Automation, Robotics and Measuring Techniques.

Disturbance Measurement Utilization in the Efficient MPC Algorithm with Fuzzy Approximations of Nonlinear Models

Piotr M. Marusak, P. Marusak, 2013, ICANNGA.

Advanced Construction of the Dynamic Matrix in Numerically Efficient Fuzzy MPC Algorithms

Piotr M. Marusak, P. Marusak, 2021, Algorithms.

Numerically Efficient Fuzzy MPC Algorithm with Advanced Generation of Prediction - Application to a Chemical Reactor

Piotr M. Marusak, P. Marusak, 2020, Algorithms.

Actuator Fault Tolerance in Control Systems with Predictive Constrained Set-Point Optimizers

Piotr Tatjewski, Piotr M. Marusak, P. Marusak, 2008, Int. J. Appl. Math. Comput. Sci..

Machine Tuning of Stable Analytical Fuzzy Predictive Controllers

Piotr M. Marusak, P. Marusak, 2009, ICANNGA.

Efficient Predictive Control Algorithm Based on Fuzzy Hammerstein Models: A Case Study

Piotr Marek Marusak, P. Marusak, 2009, WSC.

Stable, effective fuzzy DMC algorithms with on-line quadratic optimization

Piotr Tatjewski, Piotr M. Marusak, P. Marusak, 2003, Proceedings of the 2003 American Control Conference, 2003..

Output Constraint Handling in Analytical MPC Algorithms Based on Hammerstein Models with Presumed Trajectory of Future Control Changes

Piotr M. Marusak, P. Marusak, 2016, AUTOMATION.

Output constrained IMC controllers in control systems of electromechanical actuators

S. Kuntanapreeda, P. Marusak, 2015, Control Theory and Technology.

Methods of Prediction Improvement in Efficient MPC Algorithms Based on Fuzzy Hammerstein Models

Piotr M. Marusak, P. Marusak, 2014, Trans. Comput. Collect. Intell..

Application of Fuzzy Wiener Models in Efficient MPC Algorithms

Piotr M. Marusak, P. Marusak, 2010, RSCTC.

Fail-bounded implementations of the numerical model predictive control algorithms

Piotr Tatjewski, Maciej Ławryńczuk, Piotr M. Marusak, 2010 .

Advantages of an easy to design fuzzy predictive algorithm in control systems of nonlinear chemical reactors

Piotr M. Marusak, P. Marusak, 2009, Appl. Soft Comput..

Effective Dual-Mode Fuzzy DMC Algorithms with On-Line Quadratic Optimization and Guaranteed Stability

Piotr Tatjewski, Piotr M. Marusak, P. Marusak, 2009, Int. J. Appl. Math. Comput. Sci..

Efficient Predictive Control Algorithms Based on Soft Computing Approaches: Application to Glucose Concentration Stabilization

Maciej Lawrynczuk, Piotr Tatjewski, Piotr M. Marusak, 2008, EIAT/IETA.

Efficient Predictive Control and Set-Point Optimization Based on a Single Fuzzy Model

Piotr M. Marusak, P. Marusak, 2011, ICANNGA.

Integrated predictive optimiser and constraint supervisor for processes with basic feedback control

Maciej Lawrynczuk, Piotr Tatjewski, Piotr M. Marusak, 2009, 2009 European Control Conference (ECC).

On improving dependability of the numerical GPC algorithm

Maciej Lawrynczuk, Piotr Tatjewski, Piotr M. Marusak, 2009, 2009 European Control Conference (ECC).

Fault Sensitivity of Explicit DMC and GPC Algorithms

Maciej Ławryńczuk, Piotr M. Marusak, Piotr Gawkowski, 2009 .

Piecewise Linear Steady–State Target Optimization for Control Systems with MPC: a Case Study

Piotr Tatjewski, Maciej Ławryńczuk, Piotr M. Marusak, 2008 .

Software Implementation of Explicit DMC Algorithm with Improved Dependability

Piotr Tatjewski, Maciej Ławryńczuk, Piotr M. Marusak, 2008 .

Dependability Comparison of Explicit and Numerical GPC Algorithms

Maciej Lawrynczuk, Piotr Tatjewski, Piotr M. Marusak, 2008, EIAT/IETA.

ECONOMIC EFFICACY OF MULTILAYER CONSTRAINED PREDICTIVE CONTROL STRUCTURES: AN APPLICATION TO A MIMO NEUTRALISATION REACTOR

Maciej Lawrynczuk, Piotr Tatjewski, Piotr M. Marusak, 2007 .

Efficient Model Predictive Control integrated with economic optimisation

P. Tatjewski, M. Lawrynczuk, M. Lawrynczuk, 2007, 2007 Mediterranean Conference on Control & Automation.

MULTILAYER AND INTEGRATED STRUCTURES FOR PREDICTIVE CONTROL AND ECONOMIC OPTIMISATION

Maciej Lawrynczuk, Piotr Tatjewski, Piotr M. Marusak, 2007 .

Dependability of the Explicit DMC Algorithm for a Rectification Process

Piotr Tatjewski, Piotr M. Marusak, Janusz Sosnowski, 2007 .

LINKING NONLINEAR STEADY-STATE AND TARGET SET-POINT OPTIMISATION FOR MODEL PREDICTIVE CONTROL

Piotr Tatjewski, Piotr Marusak, P. Marusak, 2006 .

Efficient MPC algorithms with variable trajectories of parameters weighting predicted control errors

P. Marusak, Robert Nebeluk, 2020 .

Estimation of control improvement benefit with α-stable distribution

Pawel D. Domanski, Piotr M. Marusak, P. Domański, 2017, KKA.

Evaluation of the Control Improvement Benefits for Campaign Profiles - Nitric Acid Production Example

Pawel D. Domanski, Piotr M. Marusak, Sebastian Golonka, 2020, KKA.

Forgery Cyber-Attack Supported by LSTM Neural Network: An Experimental Case Study

Krzysztof Cabaj, P. Marusak, Patryk Chaber, 2023, Sensors.

Nonlinear extended output feedback control for CSTRs with van de Vusse reaction

Suwat Kuntanapreeda, Piotr M. Marusak, S. Kuntanapreeda, 2012, Comput. Chem. Eng..

GAN Neural Networks Architectures for Testing Process Control Industrial Network Against Cyber-Attacks

Krzysztof Cabaj, P. Marusak, Patryk Chaber, 2023, IEEE Access.

Advanced Prediction Method in Efficient MPC Algorithm Based on Fuzzy Hammerstein Models

Piotr M. Marusak, P. Marusak, 2011, ICCCI.

Numerically Efficient Analytical MPC Algorithm Based on Fuzzy Hammerstein Models

Piotr M. Marusak, P. Marusak, 2011, ICANNGA.

Block-Structured Models Composed of Nonlinear Fuzzy Dynamic and Static Parts - a Case Study

Piotr Bazydło, Piotr M. Marusak, P. Marusak, 2018, J. Autom. Mob. Robotics Intell. Syst..