A solution of UAV localization problem using an interacting multiple nonlinear fuzzy adaptive H∞ models filter algorithm
Sign Up to like & getrecommendations! Published in 2019 at "Chinese Journal of Aeronautics"
DOI: 10.1016/j.cja.2019.02.004
Abstract: Abstract The purpose of this research is to improve the robustness of the autonomous system in order to improve the position and velocity estimation of an Unmanned Aerial Vehicle (UAV). Therefore, new integrated SINS/GPS navigation… read more here.
Keywords: nonlinear fuzzy; adaptive models; multiple nonlinear; fuzzy adaptive ... See more keywords
Input-to-state stability of stochastic nonlinear fuzzy Cohen–Grossberg neural networks with the event-triggered control
Sign Up to like & getrecommendations! Published in 2020 at "International Journal of Control"
DOI: 10.1080/00207179.2018.1540887
Abstract: ABSTRACT In this paper, we investigate a class of stochastic nonlinear fuzzy Cohen–Grossberg neural networks with feedback control and an unknown exogenous disturbance. By using the Lyapunov function, Itô's formula, Dynkin's formula, Comparison principle and… read more here.
Keywords: nonlinear fuzzy; stochastic nonlinear; grossberg neural; control ... See more keywords
A nonlinear fuzzy contraction principle via control functions
Sign Up to like & getrecommendations! Published in 2024 at "Filomat"
DOI: 10.2298/fil2406963m
Abstract: In this work, we develop a new type of nonlinear fuzzy contraction, namely fuzzy L?-weak contraction, based on fuzzy L?-simulation function and fuzzy ?f-contractive mappings. Then, using the specifically developed contraction, we show the existence… read more here.
Keywords: nonlinear fuzzy; contraction; fuzzy contraction; via control ... See more keywords