Výsledky vyhledávání - "Ławryńczuk Maciej"

Akademický článek

Nonlinear Model Predictive Control for Processes with Complex Dynamics: A Parameterisation Approach Using Laguerre Functions

Autor: Ławryńczuk Maciej

Publikováno v: International Journal of Applied Mathematics and Computer Science, Vol 30, Iss 1, Pp 35-46 (2020)

Classical model predictive control (MPC) algorithms need very long horizons when the controlled process has complex dynamics. In particular, the control horizon, which determines the number of decision variables optimised on-line at each sampling ins

Externí odkaz: https://doaj.org/article/d7b94be0496e442fac898095e6f85b7e

Zobrazit plný text záznamu

Akademický článek

Assessment of the GPC Control Quality Using Non–Gaussian Statistical Measures

Autor: Domański Paweł D., Ławryńczuk Maciej

Publikováno v: International Journal of Applied Mathematics and Computer Science, Vol 27, Iss 2, Pp 291-307 (2017)

This paper presents an alternative approach to the task of control performance assessment. Various statistical measures based on Gaussian and non-Gaussian distribution functions are evaluated. The analysis starts with the review of control error hist

Externí odkaz: https://doaj.org/article/2f7e45e7b0e1409b98659da50d095b77

Zobrazit plný text záznamu

Kniha

Nonlinear Predictive Control Using Wiener Models : Computationally Efficient Approaches for Polynomial and Neural Structures. [elektronicyk zdroj]

Autor: Ławryńczuk, Maciej

Externí odkaz: Kolekce e-knih KNAV (Registrovani uzivatele: plny text online 5 minut, dalsi pristup na vyzadani. Registered users: full text online 5 minutes, further access on request.)

Akademický článek

Elman neural network for modeling and predictive control of delayed dynamic systems

Autor: Wysocki Antoni, Ławryńczuk Maciej

Publikováno v: Archives of Control Sciences, Vol 26, Iss 1, Pp 117-142 (2016)

The objective of this paper is to present a modified structure and a training algorithm of the recurrent Elman neural network which makes it possible to explicitly take into account the time-delay of the process and a Model Predictive Control (MPC) a

Externí odkaz: https://doaj.org/article/8e04baedcd9f4452975a3225ccd2b57c

Zobrazit plný text záznamu

Akademický článek

Nonlinear State–Space Predictive Control with On–Line Linearisation and State Estimation

Autor: Ławryńczuk Maciej

Publikováno v: International Journal of Applied Mathematics and Computer Science, Vol 25, Iss 4, Pp 833-847 (2015)

This paper describes computationally efficient model predictive control (MPC) algorithms for nonlinear dynamic systems represented by discrete-time state-space models. Two approaches are detailed: in the first one the model is successively linearised

Externí odkaz: https://doaj.org/article/46e039fdc4be4a4ab69f48877012f6c2

Zobrazit plný text záznamu