P. Tatjewski

发表

Two methods for large-scale nonlinear optimization and their comparison on a case study of hydropower optimization

E. Arnold, P. Tatjewski, E. Arnold, 1994 .

SOFT COMPUTING IN MODEL – BASED PREDICTIVE CONTROL †

Maciej Ławryńczuk, P. Tatjewski, M. Ławryńczuk, 2006 .

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 .

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".

Fault diagnosis and fault tolerant control

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

Nonlinear Predictive Control

Piotr Tatjewski, Maciej Ławryńczuk, Maciej Ławryńczuk, 2020 .

Comparative study and development of integrated optimization and parameter estimation algorithms for hierarchical steady-state control

P. Roberts, N. Abdullah, P. Tatjewski, 1990 .

Eﬀectiveness of Dynamic Matrix Control algorithm with Laguerre functions

P. Tatjewski, 2021 .

Cooperation of model predictive control with steady-state economic optimisation

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

An infinite horizon predictive control algorithm based on multivariable input-output models

Piotr Tatjewski, Maciej Ławryńczuk, P. Tatjewski, 2004 .

Disturbance modeling and state estimation for offset-free predictive control with state-space process models

Piotr Tatjewski, P. Tatjewski, 2014, Int. J. Appl. Math. Comput. Sci..

Supervisory advanced control and on-line set-point optimization *

Piotr Tatjewski, P. Tatjewski, 2011 .

Supervisory predictive control and on-line set-point optimization

Piotr Tatjewski, P. Tatjewski, 2010, Int. J. Appl. Math. Comput. Sci..

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..

Advanced control and on-line process optimization in multilayer structures

Piotr Tatjewski, P. Tatjewski, 2008, Annu. Rev. Control..

Soft computing in modelbased predictive control footnotemark

Piotr Tatjewski, Maciej Ławryńczuk, P. Tatjewski, 2006 .

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..

Algorithms with state estimation in linear and nonlinear model predictive control

Maciej Lawrynczuk, Piotr Tatjewski, M. Lawrynczuk, 2020, Comput. Chem. Eng..

DMC Algorithm with Laguerre Functions

Piotr Tatjewski, P. Tatjewski, 2020, KKA.

Offset-free nonlinear Model Predictive Control with state-space process models

Piotr Tatjewski, P. Tatjewski, 2017 .

Offset-Free Nonlinear Model Predictive Control

Piotr Tatjewski, P. Tatjewski, 2017, KKA.

Fail-bounded implementations of the numerical model predictive control algorithms

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

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.

Disturbance Modeling and State Estimation for Predictive Control with Different State-Space Process Models

P. Tatjewski, 2011 .

Approximate Neural Economic Set-Point Optimisation for Control Systems

Maciej Lawrynczuk, Piotr Tatjewski, M. Lawrynczuk, 2010, ICAISC.

Nonlinear predictive control based on neural multi-models

Maciej Lawrynczuk, Piotr Tatjewski, M. Lawrynczuk, 2010, Int. J. Appl. Math. Comput. Sci..

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).

Efficient Predictive Control Integrated with Economic Optimisation Based on Neural Models

Maciej Lawrynczuk, Piotr Tatjewski, M. Lawrynczuk, 2006, ICAISC.

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 .

A Computationally Efficient Nonlinear Predictive Control Algorithm with RBF Neural Models and Its Application

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

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 .

An Efficient Nonlinear Predictive Control Algorithm with Neural Models and Its Application to a High-Purity Distillation Process

M. Lawrynczuk, P. Tatjewski, 2006, ICAISC.

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

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

Advanced Control of Industrial Processes: Structures and Algorithms

Piotr Tatjewski, P. Tatjewski, 2006 .

Multilayer Decomposition for Optimizing Control of Technological Processes

Piotr Tatjewski, W. Byrski, J. Duda, 1995 .

On-line hierarchical control for steady-state systems

Piotr Tatjewski, K. Malinowski, W. Findeisen, 1978 .

ITERATIVE OPTIMIZING SET-POINT CONTROL – THE BASIC PRINCIPLE REDESIGNED

Piotr Tatjewski, P. Tatjewski, 2002 .

Completely Decentralized Output Control Based on an Approximate Mathematical Model

P. Tatjewski, M. Cygler, P. Tatjewski, 1980 .

Offset-free state-space nonlinear predictive control for Wiener systems

Maciej Lawrynczuk, Piotr Tatjewski, M. Lawrynczuk, 2020, Inf. Sci..

Improving Optimality in Multilayer Control Systems by Tighter Constraint Control and Supervision

Piotr Tatjewski, M. A. Brdyś, Jan T. Duda, 1998 .