联合感知与控制的最优策略
Optimal Strategies for Disjunctive Sensing and Control
AI总结：
本文研究了在任意时间步不允许传感器与执行器同时工作的联合感知与控制问题，提出了一种构造周期序列的方法以保证状态和估计误差协方差有界，并扩展到满足概率性机会约束。
摘要：
本文考虑了一类联合感知与执行问题，其中传感器和执行器被禁止在任何给定时间步同时操作。该问题源于航天器控制领域的实际应用。假设线性系统模型带有随机过程扰动和测量噪声，描述了一种构造周期序列的程序，以确保状态和估计误差协方差有界，并提供了支持分析结果。该程序还被扩展以确保最终满足对状态的概率机会约束。所提出的方案在航天器相对运动控制的仿真中表现出良好的性能。
英文摘要：
A disjunctive sensing and actuation problem is considered in which the actuators and sensors are prevented from operating together over any given time step. This problem is motivated by practical applications in the area of spacecraft control. Assuming a linear system model with stochastic process disturbance and measurement noise, a procedure to construct a periodic sequence that ensures bounded states and estimation error covariance is described along with supporting analysis results. The procedure is also extended to ensure eventual satisfaction of probabilistic chance constraints on the state. The proposed scheme demonstrates good performance in simulations for spacecraft relative motion control.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
