Lianghong Wu
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View article: Neuro-adaptive command-filtered backstepping control of uncertain flexible-joint manipulators with input saturation via output
Neuro-adaptive command-filtered backstepping control of uncertain flexible-joint manipulators with input saturation via output Open
View article: Neuro-adaptive command-filtered backstepping control of uncertain flexible-joint manipulators with input saturation via output
Neuro-adaptive command-filtered backstepping control of uncertain flexible-joint manipulators with input saturation via output Open
This paper addresses the challenging problem of precise trajectory tracking control for flexible-joint manipulators (FJMs) operating under intricate uncertainties, input-saturation constraints, and limited state feedback. Existing control …
View article: An Improved Adaptive Monte Carlo Localization Algorithm Integrated with a Virtual Motion Model
An Improved Adaptive Monte Carlo Localization Algorithm Integrated with a Virtual Motion Model Open
Regarding the issue of high dependency on odometry in the adaptive Monte Carlo localization (AMCL) algorithm, an improved AMCL algorithm based on the normal distributions transform (NDT) and extended Kalman filter (EKF) is proposed. A virt…
View article: A lightweight white blood cells detection network based on CenterNet and feature fusion modules
A lightweight white blood cells detection network based on CenterNet and feature fusion modules Open
White blood cells (WBCs) detection is significant to the diagnosis of many diseases. However, the detection accuracy can be influenced by the significant differences in color, size and morphology of WBCs in the images. In this paper, an im…
View article: Optimal scheduling of solar-surface water source heat pump system based on an improved arithmetic optimization algorithm
Optimal scheduling of solar-surface water source heat pump system based on an improved arithmetic optimization algorithm Open
Integrating solar energy into the combined energy supply of surface water source heat pump systems is expected to reduce the electricity consumption and carbon emissions. In this paper, a solar-surface water source heat pump system model i…
View article: An adaptive dynamic neighborhood crow search algorithm for solving permutation flow shop scheduling problems
An adaptive dynamic neighborhood crow search algorithm for solving permutation flow shop scheduling problems Open
To effectively solve the permutation flow-shop scheduling problem (PFSP), an adaptive dynamic neighborhood crow search algorithm (AdnCSA) is proposed to minimize the makespan. Firstly, a modified heuristic algorithm based on nawaz-enscore-…
View article: Simulating Temporally and Spatially Correlated Wind Speed Time Series by Spectral Representation Method
Simulating Temporally and Spatially Correlated Wind Speed Time Series by Spectral Representation Method Open
In this paper, it aims to model wind speed time series at multiple sites. The five-parameter Johnson distribution is deployed to relate the wind speed at each site to a Gaussian time series, and the resultant m-dimensional Gaussian stochas…
View article: Research progress in natural gas hydrate reservoir stimulation
Research progress in natural gas hydrate reservoir stimulation Open
Natural gas hydrate (hereinafter referred to as hydrate) is a kind of future energy with great potential. At present, the apparent factor hindering commercial hydrate development is the unqualified gas production rate, so it is necessary t…
View article: Lightweight Underwater Target Detection Algorithm Based on Dynamic Sampling Transformer and Knowledge-Distillation Optimization
Lightweight Underwater Target Detection Algorithm Based on Dynamic Sampling Transformer and Knowledge-Distillation Optimization Open
Underwater robot perception is a critical task. Due to the complex underwater environment and low quality of optical images, it is difficult to obtain accurate and stable target position information using traditional methods, making it una…
View article: Underwater Target Detection Lightweight Algorithm Based on Multi-Scale Feature Fusion
Underwater Target Detection Lightweight Algorithm Based on Multi-Scale Feature Fusion Open
The performance of underwater target detection algorithms is affected by poor imaging quality in underwater environments. Due to the arithmetic power limitation of underwater devices, existing deep learning networks are unable to provide e…
View article: A Lightweight White Blood Cells Detection Network Based on Centernet and Feature Fusion Modules
A Lightweight White Blood Cells Detection Network Based on Centernet and Feature Fusion Modules Open
View article: Probabilistic power flow computation using nested point estimate method
Probabilistic power flow computation using nested point estimate method Open
The probabilistic power flow (PPF) computation involves quantifying and propagating uncertainty over hundreds of variables. Zhao's point estimate method (PEM) has been widely used for PPF computation, and the computational burden increases…
View article: Multi-Objective Casting Production Scheduling Problem by a Neighborhood Structure Enhanced Discrete NSGA-II: An Application from Real-World Workshop
Multi-Objective Casting Production Scheduling Problem by a Neighborhood Structure Enhanced Discrete NSGA-II: An Application from Real-World Workshop Open
Casting production scheduling problem (CPSP) has attracted increasing research attention in recent years to facilitate the profits, efficiency, and environment issues of casting industry. Casting is often characterized by the properties of…
View article: distance_deviation
distance_deviation Open
In the environment with and without obstacles, the distance deviation to the target and the distance deviation to the two nearest neighbors obtained after 30 simulations of 500 steps each time by ADM, LCPSO, SMCH, ADM_VFH, LCPSO_VFH, SMCH_…
View article: DDD
DDD Open
In the environment with and without obstacles, the distance deviation to the target and the distance deviation to the two nearest neighbors obtained after 30 simulations of 500 steps each time by ADM, LCPSO, SMCH, ADM_VFH, LCPSO_VFH, SMCH_…
View article: the distance deviation to the target and the distance deviation to the two nearest neighbors
the distance deviation to the target and the distance deviation to the two nearest neighbors Open
In the environment with and without obstacles, the distance deviation to the target and the distance deviation to the two nearest neighbors obtained after 30 simulations of 500 steps each time by ADM, LCPSO, SMCH, ADM_VFH, LCPSO_VFH, SMCH_…
View article: Dimension Reduction Method for Probabilistic Power Flow Computation Considering Wind Farms
Dimension Reduction Method for Probabilistic Power Flow Computation Considering Wind Farms Open
With the large-scale integration of renewable energy sources into the power system, a new source of uncertainty is added to the operation planning problem. In this paper, the rank correlation coefficient is introduced to characterize the d…
View article: A Hybrid Multi-Objective Crisscross Optimization for Dynamic Economic/Emission Dispatch Considering Plug-In Electric Vehicles Penetration
A Hybrid Multi-Objective Crisscross Optimization for Dynamic Economic/Emission Dispatch Considering Plug-In Electric Vehicles Penetration Open
Due to the significant uncertainty of charging time and charging power consumption, the large increase in plug-in electric vehicles (PEVs) may create a major influences on the power system: According to people’s living habits, PEVs are bas…
View article: Tracking Performance Limitations of MIMO Networked Control Systems With Multiple Communication Constraints
Tracking Performance Limitations of MIMO Networked Control Systems With Multiple Communication Constraints Open
In this paper, the tracking performance limitation of networked control systems (NCSs) is studied. The NCSs are considered as continuous-time linear multi-input multioutput (MIMO) systems with random reference noises. The controlled plants…
View article: Adaptive Neural-Network-Based Control for a Class of Nonlinear Systems With Unknown Output Disturbance and Time Delays
Adaptive Neural-Network-Based Control for a Class of Nonlinear Systems With Unknown Output Disturbance and Time Delays Open
This paper pays close attention to the adaptive neural network tracking control. Aiming at a class of uncertain nonlinear systems with completely unknown output disturbance and unknown time delay, a corresponding robust control method is p…
View article: Stochastic Fractal Based Multiobjective Fruit Fly Optimization
Stochastic Fractal Based Multiobjective Fruit Fly Optimization Open
The fruit fly optimization algorithm (FOA) is a global optimization algorithm inspired by the foraging behavior of a fruit fly swarm. In this study, a novel stochastic fractal model based fruit fly optimization algorithm is proposed for mu…
View article: Parameter Estimation for VSI-Fed PMSM Based on a Dynamic PSO With Learning Strategies
Parameter Estimation for VSI-Fed PMSM Based on a Dynamic PSO With Learning Strategies Open
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View article: An Enhanced Approach for Parameter Estimation: Using Immune Dynamic Learning Swarm Optimization Based on Multicore Architecture
An Enhanced Approach for Parameter Estimation: Using Immune Dynamic Learning Swarm Optimization Based on Multicore Architecture Open
The identification of physical parameters is crucial for control system designs, condition monitoring and fault diagnosis of industrial drive systems. The article brings multicore architecture based parallel computing technology and bioins…
View article: Hunting in Unknown Environments with Dynamic Deforming Obstacles by Swarm Robots
Hunting in Unknown Environments with Dynamic Deforming Obstacles by Swarm Robots Open
In this paper, a self-organizing method, which is based on a simplified virtual-force model, is proposed for nonholonomic mobile swarm robots hunting in unknown environments.First, the motion models for the hunted target in unknown clutter…
View article: GPU-Accelerated Parallel Coevolutionary Algorithm for Parameters Identification and Temperature Monitoring in Permanent Magnet Synchronous Machines
GPU-Accelerated Parallel Coevolutionary Algorithm for Parameters Identification and Temperature Monitoring in Permanent Magnet Synchronous Machines Open
A hierarchical fast parallel co-evolutionary immune particle swarm optimization (PSO) algorithm, accelerated by graphics processing unit (GPU) technique (G-PCIPSO), is proposed for multiparameter identification and temperature monitoring o…