Number of the records: 1
Optimal fuzzy controller based on non-monotonic Lyapunov function with a case study on laboratory helicopter
- 1.
SYSNO ASEP 0505120 Document Type J - Journal Article R&D Document Type Journal Article Subsidiary J Článek ve WOS Title Optimal fuzzy controller based on non-monotonic Lyapunov function with a case study on laboratory helicopter Author(s) Behzadimanesh, S. (IR)
Fatehi, A. (IR)
Fakhimi Derakhshan, Siavash (UTIA-B)Number of authors 3 Source Title International Journal of Systems Science. - : Taylor & Francis - ISSN 0020-7721
Roč. 50, č. 3 (2019), s. 652-667Number of pages 16 s. Publication form Print - P Language eng - English Country US - United States Keywords Takagi-Sugenofuzzy systems ; common quadratic Lyapunov function ; non-monotonic Lyapunov function ; optimal fuzzy control ; laboratory twin-rotor helicopter ; linear matrix inequalities Subject RIV IN - Informatics, Computer Science OECD category Automation and control systems Method of publishing Limited access Institutional support UTIA-B - RVO:67985556 UT WOS 000458671100014 EID SCOPUS 85060571397 DOI 10.1080/00207721.2019.1567864 Annotation 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. Workplace Institute of Information Theory and Automation Contact Markéta Votavová, votavova@utia.cas.cz, Tel.: 266 052 201. Year of Publishing 2020 Electronic address https://www.tandfonline.com/doi/full/10.1080/00207721.2019.1567864
Number of the records: 1