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The method of adaptive positioning for two iterations, which allows equalizing some kinds of inaccuracies when positioning, is suggested.
This paper proposes an adaptive positioning system for the mobile terminal (MT) localization using the radio propagation modeling (RPM) and Kalman filtering (KF) according to the measurements of signal-to-noise ratio (SNR) information between indoor IEEE 802.11b (WiFi) APs and reference points (Tags).
Adaptive positioning, determining the coordinates of a cognitive radio in space, is a step towards realization of accurate location awareness in cognitive radios.
Note that, although cyclic permutations of CAZACs are possible in both time and frequency, we restrict our attention to frequency shifts as they result in wide zero regions in the AF plane and can better facilitate the adaptive positioning of the AF sidelobes.
The best strategies involve adaptive positioning, clear messaging, and even more careful targeting.
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This paper proposes an adaptive position inheritance strategy for ABC algorithm.
The subject of the article is the adaptive position and force control of a robotic manipulator in interaction with flexible environment.
According to the adaptive position tracking control design, an adaptive robust controller is also considered for the non-holonomic constraint force.
After the design procedure is introduced, an adaptive position control method based on online parameter identification and pole-placement regulation scheme is developed for the X Y table.
Considering the problems of parameter uncertainties and load disturbance appeared in induction motor drive systems, a discrete-time command filtered adaptive position tracking control method based on neural networks is proposed in this paper.
In our study, we develop an adaptive position tracking system and a force control strategy for non-holonomic mobile manipulator robot, which combine the merits of Recurrent Fuzzy Wavelet Neural Networks (RFWNNs).
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