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Abstract This study proposes a reinforcement learning‐based finite‐time cross‐media tracking control approach for slender body vehicle encountering unknown hydrodynamics, wind, and wave disturbances. Initially, learning framework consisting of the actor neural network critic is constructed. The monitors actions approximates cost function, while estimates hydrodynamics disturbances, minimising function to optimise performance. Subsequently, command filter featuring convergence formulated,...

Abstract Herein, we aimed to determine the effect of vitamin D (Vit D) and underlying mechanisms on asthma‐induced lung injury via regulation HIF‐1α/Notch1 (hypoxia‐inducible factor 1 alpha/neurogenic locus notch homolog protein 1) signaling during autophagy. We established an asthma mouse model using respiratory syncytial virus (RSV) nasal drop combined with ovalbumin (OVA) atomization. Mice were treated different Vit concentrations. Pathological changes cell apoptosis examined...

Periodogram analysis of time-series is widespread in biology. A new challenge for analyzing the microarray time series data to identify genes that are periodically expressed. Such occurs due fact observed usually exhibit non-idealities, such as noise, short length, and unevenly sampled points. Most methods used literature operate on evenly not suitable series. For data, based classical Fourier periodogram often detect expressed gene. Recently, Lomb-Scargle algorithm has been applied gene...

The local reconstruction from samples is one of the most desirable properties for many applications in signal processing. Local sampling practically useful since we need only to consider a on bounded interval and computer can process finite samples. However, problem has not been given as much attention. Most known results concern global reconstruction. There are few about spline subspaces. In this article, study general shift-invariant spaces multiple generated with compactly supported...

The emerging trans-media vehicle is significant due to its amphibious ability. A finite-time output feedback tracking control scheme proposed for a slender body with unknown time-varying hydrodynamics and external disturbances. First, novel neural network extended state observer developed observe the vehicle’s velocities handle total disturbances simultaneously. Then, combined observer, command filtered backstepping technique carefully constructed yield control. strength of approach existing...

In this paper, we consider the problem of reconstructing functions in local multiply generated shift invariant spaces from convolution random samples. The sampling set is randomly chosen with one kind probability distribution over a bounded cube and available data are sampled original function on set. We obtain an explicit reconstruction formula. This formula succeeds overwhelming when size sufficiently large.

The covariance-assisted matching pursuit (CAMP) algorithm has recently been proposed for recovering sparse signals f from noisy linear measurements based on a priori knowledge of the covariance and mean nonzero coefficients f. It utilizes by incorporating Gauss-Markov theorem into orthogonal (OMP) significantly better reconstruction performance than OMP. This letter develops sufficient conditions exact support recovery any k-sparse via CAMP ink iterations, under 12-bounded Gaussian noises....

The norm of the commutator a projection onto closed subspace and an operator S can be understood as quantitative measure lack invariance space under S. In this paper we study principal shift-invariant spaces V(φ) their properties arbitrary translations. It is known that no with integrable orthonormal basis generator fully translation-invariant. present several versions statement.

Urbanization intensification seriously interferes with the supply capacity and demand level of ecosystem services (ESs); therefore, it affects balance state ESs. Coordination urbanization development protection in ecological economic belt is vital for high-quality belt. However, previous studies lacked multi-scale analysis impact elements on ESs index (ESBI) In this study, a geographically weighted regression model was employed to measure spatial non-stationary patterns associated ESBI at 5...

In this paper, we first introduce a reproducing kernel subspace of , where is homogeneous type space. Then consider average sampling and reconstruction signals in the . We show that could be stably reconstructed from its samples taken on relatively‐separated set with small gap. Exponential convergence established for iterative approximation‐projection algorithm.