Adaptive Quantized Control Research for Hysteresis Nonlinear Systems in Piezoelectric Positioning Stages Background Introduction In modern high-precision positioning systems, smart materials (such as piezoelectric ceramics) are widely used in micro/nano manufacturing and soft robotics due to their excellent performance. However, the inherent hyster...

Balance and Task Evaluation of Construction Workers Assisted by Knee Exoskeletons Background Introduction Construction workers face serious safety and health risks in hazardous working environments, especially when working at heights. Prolonged standing and kneeling postures can lead to knee injuries, musculoskeletal disorders, and visual disturban...

Automated Strategy for Tissue Analysis in Anatomic Pathology: Fiducial Marker Integration and Multisurface Tissue Comparison Background Introduction In anatomic pathology laboratories, many processes still rely on manual operations, especially in the preparation and processing of paraffin-embedded tissue blocks (PETBs). Manual operations not only l...

Self-supervised Production Anomaly Detection and Progress Prediction Based on High-streaming Videos Background Introduction In modern manufacturing, real-time production monitoring, progress prediction, and anomaly detection are crucial for ensuring production quality and efficiency. However, traditional vision-based anomaly detection methods strug...

Application of Dynamic Event-Triggered Adaptive Control in Switched Nonlinear Systems Academic Background With the rapid development of artificial intelligence technologies, the study of switched nonlinear systems has gained widespread attention. Switched systems are complex systems composed of multiple subsystems, where the system switches between...

Distributionally Robust Optimization for Multi-Period Multi-Item Lot-Sizing Problems under Yield Uncertainty Academic Background In modern manufacturing, yield uncertainty is a prevalent issue, particularly in industries such as agriculture, food processing, and textiles. The production processes in these industries rely on uncontrollable external ...

Discounted Adaptive Critic Design with Application Verification in Zero-Sum Games Research Background In the field of control, optimal control is a core research direction aimed at designing and analyzing control systems to optimize system performance. As system complexity increases, traditional optimal control methods based on the Hamilton-Jacobi-...

Five-Axis Continuous Sweep Scanning Method Based on Geodesic Distance Field for Multi-Entrance Inwall Surface Inspection Background Introduction In industrial applications, Multi-Entrance Inwall (MEI) surfaces pose significant challenges for precise inspection due to their complex topological structures and potential collision risks. Traditional po...

Research on Global Consensus of Stochastic Multi-Agent Systems Based on Robust Fuzzy Cooperative Strategy Academic Background In modern technological fields such as automation, robotics, network communication, intelligent transportation systems, and distributed decision-making, Multi-Agent Systems (MAS) play a crucial role. MAS can efficiently exec...

Research on Distributed Intelligent Control Method Based on State Self-Learning and Its Application in Cascade Processes Academic Background In the process industry, multi-reactor cascade operation is a distinctive characteristic. However, establishing an accurate and global model for multi-reactor cascade processes presents numerous challenges. Th...