Dynamic Event-Triggered Adaptive Tracking Control for Switched Nonlinear Systems with Vanishing Control Gains

Information Science, Automation, Artificial Intelligence,
switched nonlinear systems   dynamic event-triggered control   vanishing control gains   adaptive tracking   input saturation   asynchronous switching   Zeno phenomenon  

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...

Discounted Stable Adaptive Critic Design for Zero-Sum Games with Application Verifications

Information Science, Computer Science, Automation, Artificial Intelligence,
Adaptive Critic Design   Discounted Value Iteration   Zero-Sum Games   System Stability   Optimal Control  

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-...

Geodesic Distance Field-Based Five-Axis Continuous Sweep Scanning Method for the Multi-Entrance Inwall Surface

Engineering, Mechanical Engineering, Information Science, Automation, Artificial Intelligence,
Five-axis scanning   Multi-entrance inwall surface   Geodesic Distance Field   Path planning   Surface partition   Interference-free   Continuous sweep scanning  

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...

Application of Robust Fuzzy Cooperative Strategy in Global Consensus of Stochastic Multi-Agent Systems

Information Science, Automation, Artificial Intelligence,
robust fuzzy control   global consensus   stochastic multi-agent systems   Lyapunov function   nonlinear dynamics  

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...

Distributed Intelligent Control Method Based on State Self-Learning and Its Application in Cascade Processes

Engineering, Information Science, Automation, Artificial Intelligence,
process industry   multi-reactor cascade process   state self-learning   collaborative prediction   autonomous control  

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...

Resource-Efficient Decentralized Sequential Planner for Spatiotemporal Wildfire Mitigation

Engineering, Aerospace Engineering, Information Science, Computer Science, Artificial Intelligence,
UAV   wildfire mitigation   decentralized planning   spatiotemporal tasks   resource optimization  

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...