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Event-triggered fuzzy finite-time reliable control for dynamic positioning of nonlinear unmanned marine vehicles.
- Source :
-
Ocean Engineering . Dec2022:Part 5, Vol. 266, pN.PAG-N.PAG. 1p. - Publication Year :
- 2022
-
Abstract
- This paper studies the fuzzy finite-time reliable dynamic positioning (DP) control for nonlinear unmanned marine vehicles. Firstly, the motion dynamics of nonlinear unmanned marine vehicles is modeled by the Takagi-Sugeno (T-S) fuzzy system. Secondly, a fuzzy state observer is designed to estimate the immeasurable position and velocity of unmanned marine vehicles. In order to decrease the frequency of data transmission of actuators and sensors, a dynamic event-triggered mechanism is presented based on unmanned marine vehicles information and the estimation error. Then, a fuzzy event-triggered reliable output feedback control method is presented by finite-time theory to tackle the actuator faults problem occurring in unmanned marine vehicles. The sufficient finite-time stable conditions in the form of LMIs are established via constructing finite-time Lyapunov-Krasovskii functional. Ultimately, the computer simulation results and comparisons with the existing control methods verify the advantages of the presented control method. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 00298018
- Volume :
- 266
- Database :
- Academic Search Index
- Journal :
- Ocean Engineering
- Publication Type :
- Academic Journal
- Accession number :
- 160541952
- Full Text :
- https://doi.org/10.1016/j.oceaneng.2022.113139