In this paper, a fuzzy adaptive linear active disturbance rejection control (Fuzzy-LADRC) is proposed for strong coupling and nonlinear quadrotor unmanned aerial vehicle (UAV). At present, UAV conveys new opportunities in the industry, such as power line inspection, petroleum conduit patrolling, defects detection wind turbine, because of its advantages flexibility, high efficiency, economy. Usu...

Until now single values of IRR are traditionally used to estimate the time value of cash flows. Since uncertainty exists in estimating cost data, the resulting decision may not be reliable. The most commonly cited drawbacks to using the internal rate of return in evaluatton of deterministic cash flow streams is the possibility of multiple conflicting internal rates of return. In this paper we p...

In this paper, to maximize the net output power and realize better performance optimization control of oxygen excess ratio, a complete dynamic model proton-exchange membrane fuel cell system is developed an active disturbance rejection strategy proposed. The drives uncertainties perturbations extended state, which predicted eliminated by real-time input–output data. simulation results indicate ...

Aiming at the problem of multi-machine power balance control long distance belt conveyor with double drum and three permanent magnet synchronous motor, method speed torque master slave motors driven by multiple is analyzed. According to properties coaxial rigid connection flexible drum, The strategy based on fuzzy Active Disturbance Rejection Controller (ADRC) proposed achieve purpose disturban...

Ž . The Fuzzy ARTMAP neural network is a supervised pattern recognition method based on fuzzy adaptive resonance theory ART . It is Ž a promising method since Fuzzy ARTMAP is able to carry out on-line learning without forgetting previously learnt patterns stable . Ž . learning , it can recode previously learnt categories adaptive to changes in the environment and is self-organising. This paper ...

This paper presents a performance based comparative study of various fuzzy logic controllers (FLCs) to control the speed of squirrel-cage induction motor (SCIM) by replacing the conventional proportional??integral (PI) controller. The fuzzy logic based controller does not require any identification of motor dynamic to control its speed and also assures the disturbance rejection with high robust...

Sugeno-Weber family of t-norms and t-conorms is one of the most applied one in various fuzzy modelling problems. This family of t-norms and t-conorms was suggested by Weber for modeling intersection and union of fuzzy sets. Also, the t-conorms were suggested as addition rules by Sugeno for so-called  $lambda$–fuzzy measures. In this paper, we study a nonlinear optimization problem where the fea...

Many geographical applications need to model spatial phenomena with vague or indeterminate boundaries and interiors. A popular paradigm adopted by the GIS community for this task at the modeling level is fuzzy set theory. A spatial object is fuzzy if locations exist that cannot be assigned completely to the object or to its complement. In previous work, we have proposed an abstract data model o...