The method of sparsity has been attracting a lot of attention in the fields related not only to
signal processing, machine learning, and statistics, but also systems and control. The …

In this paper, we investigate a sparse optimal control of continuous-time stochastic systems.
We adopt the dynamic programming approach and analyze the optimal control via the value …

In this paper, we propose optimal control that is both sparse and continuous, unlike
previously proposed alternatives to maximum hands-off control. The maximum hands-off …

This article presents the design of a control strategy for the Calais canal, a navigation canal
located in a lowland area in northern France that is affected by tides. Moreover, the available …

In this paper, we propose a method for the reconstruction of a complex discrete-valued
vector from its linear measurements. In particular, we mainly focus on the underdetermined …

In this survey paper, we review recent advances of compressed sensing applied to systems
and control. Compressed sensing has been actively researched in the field of signal …

This letter tackles spacecraft optimal control problems in which the cost function is defined
by a sum of vector norms, in order to optimize fuel consumption while achieving sparse …

In this paper, we analyze the asymptotic performance of convex optimization-based discrete-
valued vector reconstruction from linear measurements. We firstly propose a box …

In this paper, we consider multiuser detection that copes with multiple access interference
caused in low-rate wireless communication systems with a large number of nodes, such as …

We consider the structured stochastic convex program requiring the minimization of E ξ [f̅
(x, ξ)]+ E ξ [g̅ (y, ξ)] subject to the constraint Ax+ By= b. Motivated by the need for …