This paper puts forward a coordinated formation control scheme for multiple fixed-wing unmanned aerial vehicle (UAV) systems with external nonlinear disturbances including not only the drag force and uncertain lateral force, but also drag, lift, forces caused by wake vortices. A novel distributed finite-time extended state observer is designed to estimate both unmeasurable states of each UAV. In particular, an event-triggered mechanism employed reduce burden communication networks among...

In this paper, we explore the problem of smooth braking at preset points in autonomous vehicles using model predictive control (MPC) with a receding horizon extended state observer (RHESO) and neural network (NN). An NN-based modeling method is proposed to intuitively describe relationship between vehicle speed controllers (brake throttle), establish dynamic vehicles. A sufficient condition put forward guarantee convergence NN. Furthermore, composite MPC strategy based on RHESO designed,...

Iterative reconstruction algorithms for computed tomography (CT) through total variation regularization based on piecewise constant assumption can produce accurate, robust, and stable results. Nonetheless, this approach is often subject to staircase artefacts the loss of fine details. To overcome these shortcomings, we introduce a family novel image penalties called generalized (TGV) effective production high-quality images from incomplete or noisy projection data 3D reconstruction. We...

This paper investigates an accurate and efficient nonlinear method for propagating geostationary trajectory uncertainties under four dominant perturbations: solar radiation pressure, Earth's non-spherical gravity potential, luni-solar gravitational attractions.A Jet Transport-based scheme (also known as Differential Algebra) is considered implemented in several coordinate representations, two forms: Taylor Chebyshev expansions.Taking into account the size of uncertainty neighborhood, well...

Computed tomography (CT) is a technology widely used in medicine and industrial non-destructive testing, the image reconstruction algorithm core of CT. Now, from few-view projections hot point study algorithm. With advancements theories algorithms, sparse optimization has recently been applied to for CT image, shown have good performance both accuracy speed. In this paper, basic conclusions classical algorithms are introduced. Furthermore, spare based particular main results values...

In the high-voltage power grid of coal mine, existing adaptive topology analysis algorithm based on correlation matrix for mine can effectively identify network and construct a model to provide basis subsequent short-circuit current calculation setting calculation. However, takes much time. As scale increases, time consumption will increase sharply as well. prior-to-first-served parallel has been used reduce some extent. On this basis, article proposes simulated annealing optimizes...

The current focus of land resource allocation optimization is mainly on optimizing use structure and spatial patterns, with relatively little research combining the two aspects. While some exploration has been undertaken, there still a lack practical effective technical means methods. This study utilized differential evolution algorithm to optimize in area for year 2028, results were analyzed validated. Subsequently, these optimized integrated as quantitative constraints into particle swarm...

Total variation (TV)-based CT image reconstruction, employing the gradient sparsity, has shown to be experimentally capable of reducing X-ray sampling rate and removing unwanted artifacts, yet may cause unfavorable over-smoothing staircase effects by piecewise constant assumption. In this paper, we present a total generalized p-variation (TGpV) regularization model adaptively preserve edge information while avoiding effect. The new is solved splitting variables with an efficient alternating...

Through reasonably designing the chemical composition and effectively optimizing heat treatment techniques for a series of low carbon ultra-high strength bainitic steels (UHSBS), combination plasticity toughness are excellent impact energy absorption (A KV ≥200 J) has been tripled compared to previously advanced martensitic steel with same level (>1470 MPa). It is confirmed that microstructure significantly refined, average size ferrite (BF) sub-grains less than 20 nm thickness shear units...

Summary High precise estimation and prediction of the target's attitude motion are key technologies for capturing removing rotating space debris. In this article, a neural‐network‐enhanced Kalman filter (NNEKF) is proposed to improve precision robustness algorithm. The main innovation NNEKF utilize virtual observations inertia characteristics filter's performances. obtained using neural network, which offline trained simulation data. order decrease number nodes input data preprocessed...

Iterative reconstruction (IR) techniques are able to provide better results compared with analytic methods in cone-beam CT (CBCT) incomplete and noisy projection data.However, image algorithm remains be significantly time-consuming especially faced the large data set which decreases efficiency of imaging processing.Although graphic processing unit (GPU) has offered an attractive alternative platform improve computation efficiency, but single card is still hard meet practical requirement...