This article investigates a novel sparsity-constrained controllability maximization problem for
continuous-time linear systems. For controllability metrics, we employ the minimum …

The volume of the set of states of a linear system that can be reached using control inputs
with bounded energy depends on the determinant of the controllability Gramian. As such …

Understanding the fundamental principles and limitations of controlling complex networks is
of paramount importance across natural, social, and engineering sciences. The classic …

We consider the time-varying actuator placement in continuous time, where the goal is to
maximize the trace of the controllability Grammian. A natural relaxation of the problem is to …

The aim is to carry out the input–output controllability analysis of a multitude of time delayed
and disturbed single-input single-output plants considering all the limitations that may have …

We address the problem of identifying a network topology of a networked system for
maximizing a controllability measure, the average controllability under constraints on the …

En este trabajo se revisita un problema clásico: el diseño óptimo de actuadores y/o
sensores para sistemas lineales e invariantes en el tiempo. Considerando el sistema …

The proposed algorithm in this research paper leads to an approach through which the input-
output controllability of a plant model can be predicted successfully beforehand if it is scaled …

We study the optimal control of the mean and variance of the network state vector. We
develop an algorithm that uses projected gradient descent to optimize the control input …