Selected Control Strategies for Nonlinear Technological Processes

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F25%3A63600918" target="_blank" >RIV/70883521:28140/25:63600918 - isvavai.cz</a>

Result on the web

<a href="https://eudl.eu/doi/10.4108/dtip.10684" target="_blank" >https://eudl.eu/doi/10.4108/dtip.10684</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.4108/dtip.10684" target="_blank" >10.4108/dtip.10684</a>

Result language

angličtina

Original language name

Selected Control Strategies for Nonlinear Technological Processes

Original language description

onlinear dynamics are frequently encountered in industrial processes, where conventional linear controllers often fail to ensure the required performance or safety due to phenomena such as multiple equilibria, limit cycles, and bifurcations, all of which can negatively impact system stability. These challenges necessitate control strategies that can adapt to changing operating conditions and capture nonlinear behavior more effectively. Building on earlier research, this study identifies and evaluates two promising approaches to model-based adaptive control suitable for nonlinear technological processes. Within an established classification framework, two representative strategies are examined: one based on sequential linearization combined with polynomial control, and another employing a direct nonlinear method based on the Wiener model. Experimental validation is conducted on a two-tank benchmark and a continuous stirred-tank reactor, both representing typical nonlinear industrial systems. The results show that sequential linearization in combination with polynomial control achieves faster set-point tracking, quicker convergence, and greater robustness compared to Wiener model control. These findings underscore the advantages of structured sequential linearization techniques within adaptive control and demonstrate their potential as a practical and effective alternative to purely linear control designs in complex nonlinear environments.

Czech name

—

Czech description

—

Type

J_ost - Miscellaneous article in a specialist periodical

CEP classification

—

OECD FORD branch

20205 - Automation and control systems

Project

—

Continuities

S - Specificky vyzkum na vysokych skolach

Publication year

2025

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

EAI Endorsed Transactions on Digital Transformation of Industrial Processes

ISSN

3106-0536

e-ISSN

3106-0536

Volume of the periodical

1

Issue of the periodical within the volume

4

Country of publishing house

BE - BELGIUM

Number of pages

13

Pages from-to

1-13

UT code for WoS article

—

EID of the result in the Scopus database

—