Semantic segmentation for remote sensing images (RSIs) is widely applied in geological surveys, urban resources management, and disaster monitoring. Recent solutions on tasks are generally addressed by CNN-based models transformer-based models. In particular, architecture struggles with two main problems: a high computation load inaccurate edge classification. Therefore, to overcome these problems, we propose novel transformer model realize lightweight First, based Swin backbone, pure...

Semantic segmentation is a significant method in remote sensing image (RSIs) processing and has been widely used various applications. Conventional convolutional neural network (CNN)-based semantic methods are likely to lose the spatial information feature extraction stage usually pay little attention global context information. Moreover, imbalance of category scale uncertain boundary meanwhile exists RSIs, which also brings challenging problem task. To overcome these problems,...

The actuator failure compensation control problem of robotic systems possessing dynamic uncertainties has been investigated in this paper. Control design against partial loss effectiveness (PLOE) and total (TLOE) the are considered described, respectively, a disturbance observer (DO) using neural networks is constructed to attenuate influence unknown disturbance. Regarding prescribed error bounds as time-varying constraints, method based on barrier Lyapunov function (BLF) used strictly...

Taking the plant as a total uncertainty in black box with measurable inputs and attainable outputs, this paper presents constructive control design of agnostic nonlinear dynamic systems discontinuous input (such hard nonlinearities forms dead zones, friction, backlashes). This study expands model-free sliding mode (MFSMC), based on Lyapunov differential inequality, to robust (TMFRC) for class piecewise systems, which does not use extra adaptive online data fitting modelling deal...

In this manuscript, a sliding mode control technique is proposed for multi-switching synchronization of chaotic systems in which state variables master system are synchronized with different slave system. Based on the and Lyapunov stability theory, suitable controllers designed switches. To implement methodology, Lorenz taken as Pehlivan Simulation results carried out to justify theoretical revealed that error dynamics tends zero required obtained.

Image captioning attempts to generate a description given an image, usually taking Convolutional Neural Network as the encoder extract visual features and sequence model, among which self-attention mechanism has achieved advanced progress recently, decoder descriptions. However, this predominant encoder-decoder architecture some problems be solved. On side, without semantic concepts, extracted do not make full use of image information. only relies on word representations, lacking guidance...

AMR (Automatic Meter Reading) and PQ (power quality) management based on kinds of network technologies has become a trend. However, because the high construction maintenance costs with existing meter reading technology, applicability to different residential buildings infrastructure should be improved, it is greatly significant research new kind power which can accelerate evolution Next Generation Network facilitate people's lives. Now wireless broadband develops rapidly. Generally WiFi...

Nonlinear rational systems/models, also known as total nonlinear dynamic in an expression of a ratio two polynomials, have roots describing general engineering plants and chemical reaction processes. The major challenge issue the control such system is input embedded its denominator polynomials. With extensive searching, it could not find any systematic approach designing this class systems directly from model structure. This study expands U‐model‐based to establish platform for first layer...

The Riemann Hypothesis (RH) is proved based on a new expression of the completed zeta function $\xi(s)$, which was obtained through paring conjugate zeros $\rho_i$ and $\bar{\rho}_i$ in Hadamard product, with consideration multiplicity zeros, i.e....

The Riemann Hypothesis (RH) is proved based on a new expression of the completed zeta function $\xi(s)$, which was obtained through paring conjugate zeros $\rho_i$ and $\bar{\rho}_i$ in Hadamard product, with consideration multiplicity zeros, i.e....

The Riemann Hypothesis (RH) is proved based on a new expression of the completed zeta function ξ(s)ξ(s), which was obtained through pairing conjugate zeros ρiρi​ and ρi‾ρi​​ in Hadamard product, with consideration multiplicity zeros. That...

The Riemann Hypothesis (RH) is proved based on a new expression of the completed zeta function ξ(s)ξ(s), which was obtained by pairing conjugate zeros ρiρi​ and ρi‾ρi​​ in Hadamard product, considering multiplicity zeros. Specifically, we have:ξ(s)=ξ(0)∏i(1−sρi)(1−sρi‾)ξ(s)=ξ(0)i∏​(1−ρi​s​)(1−ρi​​s​)...

The Riemann Hypothesis (RH) is proved based on a new expression of the completed zeta function \( \xi(s) \), which was obtained by pairing conjugate zeros in Hadamard product, and considering multiplicity zeros. Specifically, we have: \xi(s)=\xi(0)\prod_{\rho}(1-\frac{s}{\rho})=\xi(0)\prod_{i=1}^{\infty}(1-\frac{s}{\rho_i})(1-\frac{s}{\bar{\rho}_i})=\xi(0)\prod_{i=1}^{\infty}\Big{(}\frac{\beta_i^2}{\alpha_i^2+\beta_i^2}+\frac{(s-\alpha_i)^2}{\alpha_i^2+\beta_i^2}\Big{)}^{m_{i}} \) where...

The Riemann Hypothesis (RH) is proved based on a new expression of the completed zeta function ξ(s)ξ(s), which was obtained through pairing conjugate zeros ρiρi​ and ρˉiρˉ​i​ in Hadamard product, with consideration multiplicity zeros, i.e.,...

The Riemann Hypothesis (RH) is proved based on a new expression of the completed zeta function \( \xi(s) \) with help divisibility contained in functional equation \xi(s)=\xi(1-s) and uniqueness multiplicity zero.

SUMMARY A stable weighted multiple model adaptive control system for uncertain linear, discrete‐time stochastic plant is presented in the paper. First, a new scheme calculating controller weights proposed with assured convergence, that is, weight corresponding to closest true converges 1, and others converge 0; second, on basis of virtual equivalent concept methodology, stability overall closed‐loop proved under unified framework which independent specific ‘local’ strategy. Copyright © 2012...

This article presents a unified understanding and judgement of the stability convergence general self-tuning control (STC) system, which consists arbitrary strategy, parameter estimation algorithm deterministic/stochastic linear time-invariant (LTI) plant. The necessary conditions required for global STC system are relaxed, i.e. estimates is removed both deterministic stochastic schemes. To reach this goal, 'virtual equivalent (VES)' concept methodology adopted. With help VES, original...

A novel active disturbance rejection control (ADRC) solution and a particular tuning method are presented for class of time delay system (TDS) with uncertainty. First, the complicated process dynamics is modeled as simple first order plus large (FOPTD) plant, difference between actual its model treated disturbances to be rejected. Then reduced linear extended state observer (RLESO) input proposed estimate disturbance. It shown how could eliminated from characteristic equation closed-loop by...