| bibtype |
J -
Journal Article
|
| ARLID |
0505120 |
| utime |
20240103222102.2 |
| mtime |
20190603235959.9 |
| SCOPUS |
85060571397 |
| WOS |
000458671100014 |
| DOI |
10.1080/00207721.2019.1567864 |
| title
(primary) (eng) |
Optimal fuzzy controller based on non-monotonic Lyapunov function with a case study on laboratory helicopter |
| specification |
| page_count |
16 s. |
| media_type |
P |
|
| serial |
| ARLID |
cav_un_epca*0256821 |
| ISSN |
0020-7721 |
| title
|
International Journal of Systems Science |
| volume_id |
50 |
| volume |
3 (2019) |
| page_num |
652-667 |
| publisher |
|
|
| keyword |
Takagi-Sugenofuzzy systems |
| keyword |
common quadratic Lyapunov function |
| keyword |
non-monotonic Lyapunov function |
| keyword |
optimal fuzzy control |
| keyword |
laboratory twin-rotor helicopter |
| keyword |
linear matrix inequalities |
| author
(primary) |
| ARLID |
cav_un_auth*0375905 |
| name1 |
Behzadimanesh |
| name2 |
S. |
| country |
IR |
|
| author
|
| ARLID |
cav_un_auth*0375906 |
| name1 |
Fatehi |
| name2 |
A. |
| country |
IR |
|
| author
|
| ARLID |
cav_un_auth*0355639 |
| name1 |
Fakhimi Derakhshan |
| name2 |
Siavash |
| full_dept (cz) |
Adaptivní systémy |
| full_dept |
Department of Adaptive Systems |
| department (cz) |
AS |
| department |
AS |
| institution |
UTIA-B |
| full_dept |
Department of Adaptive Systems |
| country |
IR |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| source |
|
| source |
|
| cas_special |
| abstract
(eng) |
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. |
| result_subspec |
WOS |
| RIV |
IN |
| FORD0 |
20000 |
| FORD1 |
20200 |
| FORD2 |
20205 |
| reportyear |
2020 |
| num_of_auth |
3 |
| inst_support |
RVO:67985556 |
| permalink |
http://hdl.handle.net/11104/0296951 |
| confidential |
S |
| mrcbC86 |
3+4 Article Automation Control Systems|Computer Science Theory Methods|Operations Research Management Science |
| mrcbC91 |
C |
| mrcbT16-e |
AUTOMATIONCONTROLSYSTEMS|COMPUTERSCIENCETHEORYMETHODS|OPERATIONSRESEARCHMANAGEMENTSCIENCE |
| mrcbT16-j |
0.488 |
| mrcbT16-s |
0.791 |
| mrcbT16-B |
38.782 |
| mrcbT16-D |
Q3 |
| mrcbT16-E |
Q4 |
| arlyear |
2019 |
| mrcbU14 |
85060571397 SCOPUS |
| mrcbU34 |
000458671100014 WOS |
| mrcbU63 |
cav_un_epca*0256821 International Journal of Systems Science 0020-7721 1464-5319 Roč. 50 č. 3 2019 652 667 Taylor & Francis |
|