研究人员开发了一种信念空间模型预测控制（B-MPC）方法，以应对具有双线性观测的线性系统的控制挑战。该方法通过同时考虑估计状态及其误差协方差来规划控制输入，克服了控制影响观测质量的分离原理失效问题。数值实验表明，B-MPC可以通过实现更低的估计协方差和做出更具不确定性感知能力的决策来优于传统方法。 AI
影响 为控制动作影响状态估计质量的系统引入了一种新的控制策略。
排序理由 关于一种新颖控制方法的学术论文。
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arXiv:2604.24663v1 Announce Type: cross Abstract: We study finite-horizon quadratic control of linear systems with bilinear observations, in which the control input affects not only the state dynamics but also the partial observations of the state. In this setting, the separation…
We study finite-horizon quadratic control of linear systems with bilinear observations, in which the control input affects not only the state dynamics but also the partial observations of the state. In this setting, the separation principle can fail because control inputs influen…