基于事件触发的多智能体协同光电跟踪系统及其控制方法
By optimizing the photoelectric tracking system through an event-triggered mechanism and a multi-agent leader consensus algorithm, the problem of excessive communication load in the multi-agent photoelectric tracking system is solved, resulting in more efficient tracking and system stability.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- XIAN INST OF OPTICS & PRECISION MECHANICS CHINESE ACAD OF SCI
- Filing Date
- 2023-05-16
- Publication Date
- 2026-07-17
AI Technical Summary
Existing time-triggered multi-agent photoelectric tracking systems are difficult to meet the demands of large-scale communication networks with high communication loads, resulting in excessive burdens on the communication networks.
An event-triggered multi-agent cooperative photoelectric tracking system is adopted. Through the event triggering module between the photoelectric sensor and the state memory, the system collects state information in real time and updates the state memory and sends control quantities when the event triggering mechanism is met. The tracking trajectory is optimized by combining the multi-agent leader consensus algorithm and the distributed Kalman algorithm.
It improves the flexibility, robustness, and autonomy of the photoelectric tracking system, reduces communication quality requirements, and ensures the stability of system control and tracking accuracy under harsh conditions.
Smart Images
Figure CN116860016B_ABST