0505120 20240103222102.220190603235959.9 85060571397 000458671100014 10.1080/00207721.2019.1567864 16 s. P cav_un_epca*02568210020-7721503 (2019)652-667Taylor & Francis Takagi-Sugenofuzzy systems common quadratic Lyapunov function non-monotonic Lyapunov function optimal fuzzy control laboratory twin-rotor helicopter linear matrix inequalities cav_un_auth*0375905 Behzadimanesh S. IR cav_un_auth*0375906 Fatehi A. IR cav_un_auth*0355639 Fakhimi Derakhshan Siavash Adaptivní systémy Department of Adaptive Systems AS AS UTIA-B Department of Adaptive Systems IR Ústav teorie informace a automatizace AV ČR, v. v. i. http://library.utia.cas.cz/separaty/2019/AS/fakhimi-0505120.pdf https://www.tandfonline.com/doi/full/10.1080/00207721.2019.1567864 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. WOS IN 20000 20200 20205 2020 3 RVO:67985556 http://hdl.handle.net/11104/0296951 S 2 Article Materials Science Multidisciplinary C AUTOMATION&CONTROLSYSTEMS|COMPUTERSCIENCE.THEORY&METHODS|OPERATIONSRESEARCH&MANAGEMENTSCIENCE 2.092 0.456 5 0.0083 0.488 5180 89 0.791 38.84 2.61 2506 Q2 1.850 204 Q2 38.782 57.6 Q3 Q4 0.8 Q2 67.13 2019 85060571397 SCOPUS 000458671100014 WOS cav_un_epca*0256821 International Journal of Systems Science 0020-7721 1464-5319 Roč. 50 č. 3 2019 652 667 Taylor & Francis