AI & ML
Feedback Stabilization for Sampled Linear Systems with Control-linear Noise
arXiv cs.SY0 views
arXiv:2609.30438v3 Announce Type: replace-cross Abstract: In this paper, we consider linear stochastic systems with control-linear noise and periodically sampled measurements. We address the problem of feedback stabilization in the mean-square sense. The main contribution of the paper is to provide a necessary and sufficient condition for feedback stabilization. In particular, we relate feedback stabilizability of the stochastic system to the existence of a fixed point of a Riccati-type algebraic equation and, further, to the existence of a solution to an infinite-horizon optimal control problem.
Source：https://arxiv.org/abs/2609.30438PreviousAdaptive Reparametrized Time for Score-Based Diffusion SamplingNextDelay-Certified Readiness Barriers for Overactuated Multirotor Allocation Without Lipschitz Constants
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