Haiping Du
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View article: Dynamic-gain neural network observer based prescribed performance backstepping sliding mode control of uncertain nonlinear systems
Dynamic-gain neural network observer based prescribed performance backstepping sliding mode control of uncertain nonlinear systems Open
This work presents a prescribed performance backstepping sliding mode control framework designed for a class of nonlinear systems with unknown disturbances. A key feature of the proposed method is the incorporation of a dynamic-gain neural…
View article: A Perturbation-Based Self-Training Method to Enhance Belief Rule Base Learning for Fault Diagnosis
A Perturbation-Based Self-Training Method to Enhance Belief Rule Base Learning for Fault Diagnosis Open
The fault diagnosis of complex systems is essential for ensuring operational safety. The belief rule base (BRB), a rule-driven framework based on expert knowledge, is widely applied in fault diagnosis because of its ability to manage uncer…
View article: Convergence Filters for Efficient Economic MPC of Non-dissipative Systems
Convergence Filters for Efficient Economic MPC of Non-dissipative Systems Open
This note presents a novel, efficient economic model predictive control (EMPC) scheme for non-dissipative systems subject to state and input constraints. A new conception of convergence filters is defined to address the stability issue of …
View article: Varying Horizon Learning Economic MPC With Unknown Costs of Disturbed Nonlinear Systems
Varying Horizon Learning Economic MPC With Unknown Costs of Disturbed Nonlinear Systems Open
This paper proposes a novel varying horizon economic model predictive control (EMPC) scheme without terminal constraints for constrained nonlinear systems with additive disturbances and unknown economic costs. The general regression learni…
View article: Multi-model Switching Control Study of a Full-Car Suspension System for Balancing Ride Comfort and Handling Stability
Multi-model Switching Control Study of a Full-Car Suspension System for Balancing Ride Comfort and Handling Stability Open
The cooperative control of ride comfort and handling stability in automobile suspension systems presents a significant challenge in intelligent chassis system design. This complexity arises from the high degrees of freedom, diverse operati…
View article: A Reliability Fault Diagnosis Method for Diesel Engines Based on the Belief Rule Base with Data-Driven Initialization
A Reliability Fault Diagnosis Method for Diesel Engines Based on the Belief Rule Base with Data-Driven Initialization Open
Diesel engines serve as critical power sources across transportation and industrial fields, and their fault diagnosis is essential for ensuring operational safety and system reliability. However, acquiring sufficient and effective operatio…
View article: Research on Vital Sign Detection Technology for Rescue Robots after Earthquakes
Research on Vital Sign Detection Technology for Rescue Robots after Earthquakes Open
In earthquake and other natural disaster rescue scenarios, rapid and accurate detection of vital signs in trapped individuals is crucial. Traditional manual methods suffer from low efficiency and poor environmental adaptability to harsh en…
View article: Controllable Liquid Metal Microparticles Production and Patterning by Miniaturized Filter‐Sieve Generators
Controllable Liquid Metal Microparticles Production and Patterning by Miniaturized Filter‐Sieve Generators Open
Liquid metal microparticles (LMMPs) with excellent conductivity and reactivity hold significant promise for applications in flexible electronics and sensors. However, current LMMP production methods face critical challenges, including achi…
View article: Learning Economic Model Predictive Control via Clustering and Kernel-Based Lipschitz Regression
Learning Economic Model Predictive Control via Clustering and Kernel-Based Lipschitz Regression Open
This paper presents a novel learning economic model predictive control scheme for uncertain nonlinear systems subject to input and state constraints and unknown dynamics. We design a fast and accurate Lipschitz regression method using inpu…
View article: Enhancing Lidar Point Cloud Sampling via Colorization and Super-Resolution of Lidar Imagery
Enhancing Lidar Point Cloud Sampling via Colorization and Super-Resolution of Lidar Imagery Open
Recent advancements in lidar technology have led to improved point cloud resolution as well as the generation of 360 degrees, low-resolution images by encoding depth, reflectivity, or near-infrared light within each pixel. These images ena…
View article: Industrial Progress of Robotic Automation in Mining Applications: A Survey
Industrial Progress of Robotic Automation in Mining Applications: A Survey Open
With the continuous innovations in cutting-edge engineering sciences, advancements in robotic autonomous systems (RAS) have opened up new possibilities in the mining sector, showing promise in replacing humans for various tasks. While RAS …
View article: Development of an Innovative Magnetorheological Gearbox for Positioning Control and Anti-Disturbance of a Robotic Arm
Development of an Innovative Magnetorheological Gearbox for Positioning Control and Anti-Disturbance of a Robotic Arm Open
The robotic arm is a critical component of modern industrial manufacturing. However, its positioning performance can be hindered by overshooting and oscillation. External disturbances, including collisions or impacts with other objects, ca…
View article: Formation and Deflexion Characteristics of Explosively Formed Projectile with Eccentric Composite Shell Constraint
Formation and Deflexion Characteristics of Explosively Formed Projectile with Eccentric Composite Shell Constraint Open
In this study, the influence of eccentric composite shell constraint to the formation and deflexion characteristics of EFP were studied. The laser high speed photography picture at typical moments of eccentric composite shell EFPs were tak…
View article: Analysis of tumor treatment under interventional ultrasound through structural and temporal dynamics: a bibliometric visualization
Analysis of tumor treatment under interventional ultrasound through structural and temporal dynamics: a bibliometric visualization Open
Based on our analysis, we found that the focus of research on tumor treatment under interventional ultrasound has shifted from the exploration of clinical applications to technological advancements and safety. This study also revealed the …
View article: A new inerter-based acoustic metamaterial MRE isolator with low-frequency bandgap
A new inerter-based acoustic metamaterial MRE isolator with low-frequency bandgap Open
Acoustic metamaterials are capable of generating bandgaps at specific frequency ranges, which makes them have good applications in the field of vibration isolation. The bandgaps can be further broadened with active control, nonlinear compo…
View article: Analysis of Deep Learning-Based Colorization and Super-Resolution Techniques for Lidar Imagery
Analysis of Deep Learning-Based Colorization and Super-Resolution Techniques for Lidar Imagery Open
Modern lidar systems can produce not only dense point clouds but also 360 degrees low-resolution images. This advancement facilitates the application of deep learning (DL) techniques initially developed for conventional RGB cameras and sim…
View article: Comparative analysis and optimization of nonlinear hysteresis models for a magnetorheological fluid dual-clutch of an electric vehicle transmission
Comparative analysis and optimization of nonlinear hysteresis models for a magnetorheological fluid dual-clutch of an electric vehicle transmission Open
Electric vehicle (EV) drivetrains have witnessed remarkable progress, prompting intensified research into advanced transmission systems. Magnetorheological fluids (MRF) clutches offer precise modulation of input currents, enabling swift an…