Coordination control strategies for multivehicle systems
| Autor: | Yuanqing Xia, Mutaz M. Hamdan, Magdi S. Mahmoud |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
0209 industrial biotechnology
Computer Networks and Communications business.industry Computer science Applied Mathematics Control (management) Bilinear matrix inequality Cloud computing Control engineering 02 engineering and technology Direct communication Range (mathematics) 020901 industrial engineering & automation Control and Systems Engineering Control theory Control system Signal Processing 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Overall performance business |
| Zdroj: | Journal of the Franklin Institute. 357:12197-12222 |
| ISSN: | 0016-0032 |
| DOI: | 10.1016/j.jfranklin.2020.09.007 |
| Popis: | There is a lot of interest in problems of multivehicle systems (MVSs) in recent years due to their wide range of applications. In this paper, we are closely examining three approaches for dealing with problems of coordination control strategies in (MVSs). First, a distributed control approach is discussed where the controller here is designed using bilinear matrix inequality (BMI) technique. Second, a two-level control approach is provided in which a global controller is used to supervise the overall performance of the (MVSs) by sending corrective signals to the local controllers of the agents. In this approach, there is no direct communication among agents but all of the communication with the global controller. Third, a cloud-based control approach is addressed which benefits of the technological advances in networked control systems theory. Computer simulations are performed on autonomous underwater vehicles (AUV) and comparative studies among the approaches are elucidated throughout the paper. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|
Full Text from ScienceDirect