Estimating and detecting faults is crucial in ensuring safe and efficient automated systems. In the presence of disturbances, noise or varying system dynamics, such estimation is even more challenging. To address this...
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This study presents a finite-time adaptive sliding mode back-stepping controller (FASMBC) for hypersonic flight vehicle (HFV), where the state constraints and unmodeled disturbances are considered. Firstly, the longit...
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ISBN:
(数字)9781728190938
ISBN:
(纸本)9781728190945
This study presents a finite-time adaptive sliding mode back-stepping controller (FASMBC) for hypersonic flight vehicle (HFV), where the state constraints and unmodeled disturbances are considered. Firstly, the longitudinal model of HFV is decomposed into altitude subsystem and velocity subsystem. Then, sliding mode control and back-stepping logic based on barrier Lyapunov function are merged to design the robust controller for each subsystem. Besides, the adaptive strategy is applied to estimate the unmodeled disturbances. A tracking differentiator is introduced to avoid the "explosion of terms" problem involved in traditional back-stepping control. Finally, the simulation results is provided to illustrate the effectiveness of the proposed control scheme.
作者:
Anna LalikKrzysztof PuszyńskiRoman JaksikSystems Engineering Group
Faculty of Automatic Control Electronics and Automatic Control Electronics and Automatic Control Electronics and Informatics Informatics Informatics Silesian University of Technology Gliwice Poland
Biological experiments which aim to study changes in the gene expression profile currently allow to detect only significant variations in RNA levels due to high variance of the signal in both biological and technical ...
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ISBN:
(数字)9781728121949
ISBN:
(纸本)9781728121956
Biological experiments which aim to study changes in the gene expression profile currently allow to detect only significant variations in RNA levels due to high variance of the signal in both biological and technical replicates. The variance of the signal has its source in the experimental procedure and in the laboratory in which the measurement was performed. Understanding factors that influence measured levels of gene expression, using individual platforms, will allow the development of bioinformatics tools correcting the impact of experimental methodology. In this study, we analyze the influence of selected factors (poly(A) and spacer-T motifs; GC content, transcript length) on the precision of gene expression measurements by RT-qPCR, oligonucleotide microarrays and RNA sequencing.
In this paper, we focus on the problem of compositional synthesis of controllers enforcing signal temporal logic (STL) tasks over a class of continuous-time nonlinear interconnected systems. By leveraging the idea of ...
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This paper studies a multi-fleet platoon coordination system in transport networks that deploy hubs to form trucks into platoons. The trucks belong to different fleets that are interested in increasing their profits b...
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This paper considers smooth convex optimization problems with many functional constraints. To solve this general class of problems we propose a new stochastic perturbed augmented Lagrangian method, called SGDPA, where...
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The paper discusses a deep learning approach for automatically detecting the two most important classes of injuries (bruises and abrasions) with the use of semantic segmentation. First, a dataset of postmortem images ...
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The novel active simultaneously transmitting and reflecting surface (ASTARS) has recently received a lot of attention due to its capability to conquer the multiplicative fading loss and achieve full-space smart radio ...
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Recently significant attention has been paid to magnetic field dependent photoluminescence (PL) features of the negatively charged nitrogen-vacancy (NV) centers in diamond. These features are used for microwave-free s...
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Recently significant attention has been paid to magnetic field dependent photoluminescence (PL) features of the negatively charged nitrogen-vacancy (NV) centers in diamond. These features are used for microwave-free sensing and are indicative of the spin-bath properties in the diamond sample. Examining the temperature dependence of the PL features allows identifying both temperature-dependent and -independent features, of potential utility in diamond-based quantum sensing and dynamic nuclear polarization applications. Here we study the thermal variability of many different features visible in a wide range of magnetic fields. To this end, we first discuss the origin of the features and tentatively assign the previously unidentified features to cross relaxation of NV center containing multispin systems. The experimental results are compared with theoretically predicted temperature shifts deduced from a combination of thermal expansion and electron-phonon interactions. A deeper insight into the thermal behavior of a wide array of the features may come with important consequences for various applications in high-precision NV thermometry, gyroscopes, solid-state clocks, and biomagnetic measurements.
The convergence of stochastic gradient descent is highly dependent on the step-size, especially on non-convex problems such as neural network training. Step decay step-size schedules (constant and then cut) are widely...
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