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 …

With the privacy protection increasingly being concerned, Data centralization often heavily
causes a big risk of privacy protection, gradually, there is a prevailing trend to enhance the …

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 the field of systems and control, many cooperative control problems of multi-agent
systems have been actively studied in the past two decades. This article aims to organize …

This study investigates the stability of nonlinear interconnected systems (ISs) with time-
delays by designing a decentralized memory-based sampled-data control and it's an …

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 …

This article studies the interval consensus of multi-agent systems using sampled data.
Specifically, all the agents come to a consensus inside a given interval, which is only …

This paper treats a novel maximum hands-off control problem in which two types of sparsity
are considered. Our optimization problem is mathematically formulated as an L 0 optimal …

Society 5.0 is the next-generation society, proposed in the 5th Science and Technology
Basic Plan by the Cabinet Office in Japan. Society 5.0 is technologically defined as a system …

The existence, solution structure, and equivalence of sparse control for linear time‐varying
systems are investigated. We proved the existence of the optimal solution of sparse control …