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...
Efficient Decentralized Sequential Planner for Spatiotemporal Wildfire Mitigation Using Multiple UAVs Academic Background Wildfires pose a significant threat to global biodiversity and resource sustainability, especially in their early stages. If not controlled in time, wildfires can rapidly expand, leading to severe ecological damage. In recent ye...
Projective Weighted Dynamic Time Warping-Based Monitoring Method for Multi-Stage Processes with Unequal Durations Academic Background In modern manufacturing industries, online monitoring of multi-stage processes (such as batch and transition processes) is crucial for improving product quality and reducing failure risks. However, due to varying ope...
Micropipette-Image Calibration Method Based on Micromanipulation System for Somatic Cell Microinjection Research Background Microinjection is a technique that employs a fine micropipette to inject a precise amount of genetic material, drugs, or other exogenous substances directly into cells or tissues. This technology plays a pivotal role in biomed...
A New Approach to Model Predictive Control for Unmanned Surface Vehicles (USV): A Probabilistic Neural Network-Based MBRL Framework Academic Background Unmanned Surface Vehicles (USVs) have seen rapid development in recent years within the field of marine science, finding extensive applications in scenarios such as marine transportation, environmen...