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This paper presents an online self-tuning Smith Predictor for the First Order Plus Dead Time Model (FOPDT). It can tune time delay through oscillated input and output. Realtime phase difference detection is used to obtain the phase difference between the input and the output. An online tuner is used to minimize the phase difference. Once the phase difference is minimized, the exact time delay is completely...
The extended state observer (ESO), as a special case of high-gain observers, can estimate not only the state variables but also unknown disturbances. ESO works well for slowly time-varying/low-frequency disturbances. To extend its performance to high-frequency disturbances, this paper proposes a phase compensator to recover the inherent phase loss in the traditional ESO. Furthermore, the ESO gains...
Computation offloading has already shown itself to be successful for enabling resource-intensive applications on mobile devices. However, in view of immersive applications, the offloaded tasks could be duplicate when multiple users are in the same environment. In this paper, we consider the scenario that multiple mobile users offload duplicated computation tasks to a set of nearby Femto-Cloud called...
In this paper, we propose algorithms for computing Walsh-Hadamard transform with arbitrary K-sparse support. When K is sublinear in the dimension N of the time-domain signal, the algorithms achieve vanishing error probability as K increases without bound and involve sublinear computational complexity. Specifically, under the noiseless setting, an algorithm based on random hashing and successive cancellation...
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