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...