In this survey article, we give a comprehensive review of sparse control for continuous‐time
systems, called maximum hands‐off control. The maximum hands‐off control is the optimal …

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 …

Maximum hands-off control is a control mechanism that maximizes the length of the time
duration on which the control is exactly zero. Such a control is important for energy-aware …

In this paper, we propose a new design method of discrete-valued control for continuous-
time linear timeinvariant systems based on sum-of-absolute-values (SOAV) optimization. We …

A new zero-order algorithm to solve the maximum hands-off control is proposed. Maximum
hands-off control is discretized into a convex linear programming problem by zero-order …

In this letter, we consider the maximization of a quantitative metric of controllability with a
constraint of L 0 norm of the control input. Since the optimization problem contains a …

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 …

In this article, we investigate theoretical properties of the time-optimal hands-off control for
linear time-invariant systems. The purpose of the control is to maximize the time duration on …

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 …

The paper proposes a novel time-optimal control that is also sparse in both time and space
domain to take account of resource constraints in networked control systems. The control …