Optimal fuzzy controller based on non-monotonic Lyapunov function with a case study on laboratory helicopter

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F19%3A00505120" target="_blank" >RIV/67985556:_____/19:00505120 - isvavai.cz</a>

Výsledek na webu

<a href="https://www.tandfonline.com/doi/full/10.1080/00207721.2019.1567864" target="_blank" >https://www.tandfonline.com/doi/full/10.1080/00207721.2019.1567864</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1080/00207721.2019.1567864" target="_blank" >10.1080/00207721.2019.1567864</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Optimal fuzzy controller based on non-monotonic Lyapunov function with a case study on laboratory helicopter

Popis výsledku v původním jazyce

This paper presents a new approach to design an observer-based optimal fuzzy state feedback controller for discrete-time Takagi–Sugeno fuzzy systems via LQR based on the non-monotonic Lyapunov function. Non-monotonic Lyapunov stability theorem proposed less conservative conditions rather than common quadratic method. To compare with optimal fuzzy feedback controller design based on common quadratic Lyapunov function, this paper proceeds reformulation of the observer-based optimal fuzzy state feedback controller based on common quadratic Lyapunov function. Also in both methodologies, the dependence of optimisation problem on initial conditions is omitted. As a practical case study, the controllers are implemented on a laboratory twin-rotor helicopter to compare the controllers' performance.

Název v anglickém jazyce

Optimal fuzzy controller based on non-monotonic Lyapunov function with a case study on laboratory helicopter

Popis výsledku anglicky

This paper presents a new approach to design an observer-based optimal fuzzy state feedback controller for discrete-time Takagi–Sugeno fuzzy systems via LQR based on the non-monotonic Lyapunov function. Non-monotonic Lyapunov stability theorem proposed less conservative conditions rather than common quadratic method. To compare with optimal fuzzy feedback controller design based on common quadratic Lyapunov function, this paper proceeds reformulation of the observer-based optimal fuzzy state feedback controller based on common quadratic Lyapunov function. Also in both methodologies, the dependence of optimisation problem on initial conditions is omitted. As a practical case study, the controllers are implemented on a laboratory twin-rotor helicopter to compare the controllers' performance.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

20205 - Automation and control systems

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2019

Kód důvěrnosti údajů

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

Název periodika

International Journal of Systems Science

ISSN

0020-7721

e-ISSN

—

Svazek periodika

50

Číslo periodika v rámci svazku

3

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

16

Strana od-do

652-667

Kód UT WoS článku

000458671100014

EID výsledku v databázi Scopus

2-s2.0-85060571397