Review of modern nonlinear control methods

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F25%3A63599881" target="_blank" >RIV/70883521:28140/25:63599881 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1007/978-3-031-94223-5_24" target="_blank" >http://dx.doi.org/10.1007/978-3-031-94223-5_24</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-031-94223-5_24" target="_blank" >10.1007/978-3-031-94223-5_24</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Review of modern nonlinear control methods

Popis výsledku v původním jazyce

Nonlinear control methods are essential for effective control of complicated dynamic systems, particularly when conventional linear techniques are ineffective. The paper presents an extensive review of contemporary nonlinear control techniques, paying particular attention to their categorization, theoretical backgrounds, and real-world applications. The study starts with the introduction of nonlinear system properties and mathematical modeling, followed by a bibliometric analysis that illustrates the increasing popularity of the research topic. The article classifies nonlinear control methodologies into two broad categories: system linearization-based and nonlinear control law-based direct approaches. Adaptive control, Nonlinear Model Predictive Control, and Artificial Intelligence-based control methodologies are investigated in detail and systematically compared based on recent experimental findings. Particular emphasis is placed on novel developments, e.g., data-driven control methods and optimization-based techniques, which have shown encouraging results in practical applications. The results emphasize the growing role of machine learning and model-free methods in nonlinear control. The review is a valuable resource for researchers and practitioners interested in getting acquainted with state-of-the-art nonlinear control techniques and their changing background.

Název v anglickém jazyce

Review of modern nonlinear control methods

Popis výsledku anglicky

Nonlinear control methods are essential for effective control of complicated dynamic systems, particularly when conventional linear techniques are ineffective. The paper presents an extensive review of contemporary nonlinear control techniques, paying particular attention to their categorization, theoretical backgrounds, and real-world applications. The study starts with the introduction of nonlinear system properties and mathematical modeling, followed by a bibliometric analysis that illustrates the increasing popularity of the research topic. The article classifies nonlinear control methodologies into two broad categories: system linearization-based and nonlinear control law-based direct approaches. Adaptive control, Nonlinear Model Predictive Control, and Artificial Intelligence-based control methodologies are investigated in detail and systematically compared based on recent experimental findings. Particular emphasis is placed on novel developments, e.g., data-driven control methods and optimization-based techniques, which have shown encouraging results in practical applications. The results emphasize the growing role of machine learning and model-free methods in nonlinear control. The review is a valuable resource for researchers and practitioners interested in getting acquainted with state-of-the-art nonlinear control techniques and their changing background.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

20205 - Automation and control systems

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2025

Kód důvěrnosti údajů

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

Název statě ve sborníku

Lecture Notes in Mechanical Engineering

ISBN

978-3-031-94222-8

ISSN

2195-4356

e-ISSN

2195-4364

Počet stran výsledku

10

Strana od-do

265-274

Název nakladatele

Springer Science and Business Media Deutschland GmbH

Místo vydání

Berlín

Místo konání akce

Praha

Datum konání akce

18. 6. 2025

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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