Single Target Dynamic Tracking and Hunting Based on Multi- Agent systems Control
| Autor: | Weifeng Liu, Xinfeng Ru, Zhengwang Tian |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
0209 industrial biotechnology
Sequence business.industry Computer science Association (object-oriented programming) Multi-agent system 020208 electrical & electronic engineering Real-time computing Topology (electrical circuits) 02 engineering and technology Tracking (particle physics) Automation 020901 industrial engineering & automation 0202 electrical engineering electronic engineering information engineering Clutter State (computer science) business |
| Zdroj: | ICCAIS |
| DOI: | 10.1109/iccais46528.2019.9074569 |
| Popis: | In this paper, a joint tracking and hunting algorithm is proposed for single target dynamic tracking and hunting in multi-agent systems. The tracking association algorithm uses sequence multi-sensor multiple hypothesis tracker(SMHT). After obtaining the target state estimation in the clutter environment, the distributed control algorithm is designed by using the consensus theory to realize the dynamic hunting of the single target. The control algorithm design is divided into two parts: multiagent systems communication topology design and deviation vector design. The simulation results show that the joint tracking and hunting algorithm can make the multi-agent systems form formation, maintain formation and realize the dynamic tracking and hunting of single target. |
| Databáze: | OpenAIRE |
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