Object's details: Offset-free nonlinear Model Predictive Control with state-space process models

Provider:Czasopisma PAN

Description

Title:
Offset-free nonlinear Model Predictive Control with state-space process models
Creator:
Tatjewski, Piotr
Description:
Archives of Control Sciences welcomes for consideration papers on topics of significance in broadly understood control science and related areas, including: basic control theory, optimal control, optimization methods, control of complex systems, mathematical modeling of dynamic and control systems, expert and decision support systems and diverse methods of knowledge modelling and representing uncertainty (by stochastic, set-valued, fuzzy or rough set methods, etc.), robotics and flexible manufacturing systems. Related areas that are covered include information technology, parallel and distributed computations, neural networks and mathematical biomedicine, mathematical economics, applied game theory, financial engineering, business informatics and other similar fields. Aims and Scope: Archives of Control Sciences publishes papers in the broadly understood field of control science and related areas while promoting the closer integration of the Polish, as well as other Central and East European scientific communities with the international world of science. IMPACT FACTOR 2022: 1.2 CiteScore 2022: 2.7 SCImago Journal Rank (SJR) 2022: 0.304 Source Normalized Impact per Paper (SNIP) 2021: 0.570
Object availability:
free access
Date:
2017
Source:
Archives of Control Sciences; 2017; No 4
Publisher:
Committee of Automatic Control and Robotics PAS
Subject:
Nauki Techniczne
Identifier:
ISSN 1230-2384
Data provider:
Czasopisma PAN

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Object's details: Offset-free nonlinear Model Predictive Control with state-space process models

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