This paper presents a nonlinear flatness-based control (FBC) approach for a full-order doubly fed induction generator (DFIG) in the wind turbine system. Flat outputs of the DFIG and the FBC controller are derived using differential flatness theory. The proposed approach ensures an efficient decoupled control for both active and reactive powers of the DFIG. Also, it provides a smooth trajectory tracking in the start-up and the rest to rest modes without any saturation. Therefore, the system satisfactory operates at a variable speed of the rotor with an effective active/reactive power tracking. The variable rotor speed represents a perturbation caused by changes in the wind speed or different wind energy capacity. The requirements on the active and the reactive power are converted into system variables using a high-level reference trajectory generator (HLRTG). The effectiveness of the proposed system is verified by simulations.

The aim of this research is to finalize implementation of new method and algorithm of Collaborative and Non-Collaborative Dynamic Path Prediction for Mobile objects Collision Detection with Dynamic Obstacles in 2D and 3D Space. The method is based human behavior in collision detection with vehicles in real-life natural environment. Advantages of proposed method are full decentralization of the system, minimizing network traffic and simplifying inclusion of additional agents in the system. The proposed method is inspired by nature and implemented in mobile robotics. The method decreases uncertainty and increases predictability in collision detection with dynamic obstacles. Method allows implementation of fully functional algorithm which is tested in experimental environment and shows excellent results both in collaborative mode using exchange of coordinates as well as non-collaborative mode using OpenCV library for computer imaging and mobile objects tracking. The proposed algorithm is named Sliding Holt algorithm. This research paper should be considered as a part of series of research papers published earlier.

AIM From a medico-legal and penalty point of view, it is essential to conclude if an individual is a minor or an adult (18 years of age). Methods based on the third molar development have been used for this purpose. The present article aims to verify the Nolla's stages of mineralization of the third molars and a third molar maturity index (I3M) which is based on the measures of the projections of open apices normalized by their height in the sample of Montenegrins. METHOD AND SAMPLE The sample consisted of 683 panoramic radiographs (324 males and 359 females) between 13 and 24 years of age. The specific mineralization stages of Nolla and the cut-off value of I3M < 0.08 was used to discriminate adults and minors. RESULTS The best performance in discriminating adults and minors was for I3M < 0.08 followed by the Nolla stage 9. For I3M < 0.08 the results demonstrated high sensitivity of 0.92 and 0.82 and specificity of 0.94 and 0.96 in males and females, respectively. The proportions of correctly classified individuals were 0.93 in males and 0.89 in females. The Nolla stage 9 demonstrated the sensitivity of 0.95 and 0.85 and the specificity of 0.84 and 0.90 in males and females, respectively. The proportions of correctly classified individuals were 0.90 in males and 0.87 in females. CONCLUSION The suggested value of I3M < 0.08 followed by Nolla stage 9 can be used to discriminate adults from minors with high specificity.