Stochastic Multi-object Guidance Laws for Interception and Rendezvous Problems

• 成果类型: Article
• 署名作者: Clark, Daniel E.
• 署名单位: IMT - Institut Mines-Telecom; Institut Polytechnique de Paris; Telecom SudParis
• 刊物名称: IEEE TRANSACTIONS ON AUTOMATIC CONTROL
• ISSN/ISSBN: 0018-9286
• DOI: 10.1109/TAC.2021.3062559
• 发表日期: 2022
• 页码: 1482-1489
• 关键词: Covariance matrices; Kalman filters; Target tracking; Mathematical model; uncertainty; Noise measurement; Differential equations; guidance; interception; linear-quadratic control; multiobject estimation; point processes

摘要

This article considers the problem of guiding an unknown number of controllable interceptors to rendezvous with the same target at the same time. It is assumed that the all of the interceptors and the target are described by linear dynamics with Gaussian noise, though the theory presented does not preclude more general models. This article extends the work of Athans to consider a scenario, where the number of interceptors is unknown and time-varying. In particular, the focus is on the development of a stochastic multiobject guidance law for simulaneous rendezvous and interception. The article is presented as an homage to Athans' original work which was published nearly 50 years ago.