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A Robust Adaptive Inverse Hyperbolic Sine Function (RA-IHSF)-based Controlled Solar PV Grid Integrated System
This paper aims to maintain power quality for a two-stage solar photovoltaic (SPV) gird integrated system in case of dynamic disturbances such as...
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Channel Adaptive Equalizer Design Based on FIR Filter via FVSS-NLMS Algorithm
Equalization is an important application of the signal processing theory to communication theory, since its function is to cancel noise present in...
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A chaotic adaptive butterfly optimization algorithm
Butterfly optimization algorithm is a population intelligent optimization algorithm, which is easy to fall into local optimal and has low searching...
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Heading control of variable configuration unmanned ground vehicle using PID-type sliding mode control and steering control based on particle swarm optimization
When performing tasks in the field, the unmanned ground vehicle (UGV) usually requires the ability of quickly adjusting the driving direction, and...
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Adaptive Convolution Long-Short Memory Network Short-Term Wind Power Prediction Based on Transitional Weather Classification
The current wind power prediction scheme still has a large error in the transitional weather period. In the case of large-scale wind power...
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Nonlinear spline prioritization optimization adaptive filter with arctangent-exponential hyperbolic cosine
This paper presents a new spline prioritization optimization adaptive filter with arctangent-exponential hyperbolic cosine (SPOAF-ARC-EHC) to solve...
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Simple subspace based adaptive beamforming under Toeplitz covariances
When uncorrelated signals are incident on a uniform linear array, the array covariance matrix is of the Toeplitz form. An adaptive beamforming method...
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Distributed Cooperative Control of Singular Multi-agent Systems Based on Fuzzy Logic Approach
This paper studies the consensus issue of nonlinear singular multi-agent systems under undirected graphs based on fuzzy logic systems. The main...
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Weight Optimization of Truss Structures with Different Constraints Using Rao Algorithms and Their Variants
This paper presents self-adaptive multi-population elitist (SAMPE) Rao algorithms and chaotic Rao algorithms that are the modified versions of...
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Hybrid Optimization Approach for Adaptive Beamforming in Smart Antenna System
The paper presents novel the adaptive beamforming in linear antenna array through hybrid optimization algorithm. The hybrid optimization algorithm...
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A Robust PID Design for Load Frequency Control Using AEPSO Algorithm with Changing Loads
This article introduced a new approach known as adaptive exponential particle swarm optimization (AEPSO) for the purpose of load frequency control to...
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Intelligent Virtual Impedance Based Control to Enhance the Stability of Islanded Microgrid
This paper focuses on the voltage stability issue of an islanded microgrid in a cost-effective way adding the concept of adaptive virtual impedance....
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Hybrid generative adversarial network based on a mixed attention fusion module for multi-modal MR image synthesis algorithm
Recently, medical image synthesis has attracted the attention of an increasing number of researchers. However, most of current approaches suffer from...
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A Proportionate Maximum Total Complex Correntropy Algorithm for Sparse Systems
While the practical application of adaptive filters has indeed garnered substantial attention, two pressing issues persist that have a profound...
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Double Closed-Loop Integral Sliding Mode Control for Underactuated UUV with Uncertain Dynamics
A double closed-loop integral sliding mode controller (ISMC) is designed for underactuated underwater unmanned vehicle (UUV) with model perturbation...
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Human Activity Recognition of Exoskeleton Robot Based on Adaptive DTW Classifier
This paper proposes a method based on adaptive Dynamic Time War** (DTW) classifier to recognize human activities of exoskeleton robots. First, the...
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State trend prediction of hydropower units under different working conditions based on parameter adaptive support vector regression machine modeling
To address the problem where the different operating conditions of hydropower units have a large influence on the parameters of the trend prediction...
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High-Speed VLSI Implementation of an Improved Parallel Delayed LMS Algorithm
Motivated by improvement of convergence rate and throughput performance, this work develops a systematic high-speed VLSI implementation of the...
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Improved Informed-RRT* Based Path Planning and Trajectory Optimization for Mobile Robots
In order to solve the problems of the Informed-RRT* algorithm in path planning, such as blindness, uneven sampling, and unsmooth paths, an improved...
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Power maximization in standalone photovoltaic system: an adaptive PSO approach
A control strategy for power maximization which is an important mechanism to extract maximum power under changing environmental conditions using...
