Abstract
Numerical realization of optimal consensus control is important for multi-agent systems. In this study we formulate a nonlinear multi-agent system based on Cucker-Smale model and develop consensus control to resolve the dynamic problem of flocking. The validation of the framework is performed with random initial position and velocities considering two cases, that is, 5 and 13 birds. Based on the results obtained and presented for 40 iterations it is observed that the agent's position and velocities have successfully converged.
| Original language | English |
|---|---|
| Title of host publication | 2023 International Conference on Control, Automation and Diagnosis, ICCAD 2023 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Electronic) | 9798350347074 |
| DOIs | |
| State | Published - 2023 |
| Event | 2023 International Conference on Control, Automation and Diagnosis, ICCAD 2023 - Rome, Italy Duration: 10 May 2023 → 12 May 2023 |
Publication series
| Name | 2023 International Conference on Control, Automation and Diagnosis, ICCAD 2023 |
|---|
Conference
| Conference | 2023 International Conference on Control, Automation and Diagnosis, ICCAD 2023 |
|---|---|
| Country/Territory | Italy |
| City | Rome |
| Period | 10/05/23 → 12/05/23 |
Bibliographical note
Publisher Copyright:© 2023 IEEE.
Keywords
- Consensus algorithm
- Cucker-Smale model
- Flocking
- Multi-agent systems
- Non-linear systems
ASJC Scopus subject areas
- Artificial Intelligence
- Computer Science Applications
- Computer Vision and Pattern Recognition
- Control and Systems Engineering
- Safety, Risk, Reliability and Quality
- Control and Optimization
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