Optimal Control of Multi-Object System

多目标系统的最优控制

• 批准号: FT0991854
• 负责人: Prof Ba-Ngu Vo
• 金额: $ 56.26万
• 依托单位: Curtin University
• 依托单位国家: 澳大利亚
• 项目类别: ARC Future Fellowships
• 财政年份: 2010
• 资助国家: 澳大利亚
• 起止时间: 2010-03-15 至 2015-08-31
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/FT0991854
• 关键词: Optimal; Control; Multi; Object; System

Better understanding of multi-object systems developed from this research, in particular, optimal control algorithms for multi-object systems have several significant socio-economic benefits. Application areas that benefits from our research include aerospace applications such as radar, sonar, guidance, navigation, and air traffic control and non-aerospace areas such as image processing, oceanography autonomous vehicles and robotics, remote sensing, and biomedical research. The sensor network discipline also stand to benefit from the understanding of multi-object system and control framework.

从本研究中开发的多目标系统，特别是多目标系统的最优控制算法有几个显着的社会经济效益的更好的理解。从我们的研究中受益的应用领域包括航空航天应用，如雷达，声纳，制导，导航和空中交通管制，以及非航空航天领域，如图像处理，海洋学自动驾驶汽车和机器人，遥感和生物医学研究。 传感器网络学科也将受益于对多目标系统和控制框架的理解。