Humans routinely confront the following key question which could be viewed as a probabilistic variant of the controllability problem: While faced with an uncertain environment governed by causal structures, how should they practice their autonomy by intervening on driver variables, in order to increase (or decrease) the probability of attaining their desired (or undesired) state for some target...

This paper investigates the structural controllability problem for controlled switching linear systems. Causal manipulations on the bond graph models are carried out in order to determine graphically the controllable state subspaces. Graphical conditions for structural controllability are derived by using these controllable state subspaces.

This paper presents that the structural controllability and observability can be used for a class of discrete event systems modeled by industry-standard N-squared diagrams. The main results of this paper provide analytical assessment of large scale industrial system properties before the software simulation and hardware demonstration; therefore it offers immense savings in verification time and...

This paper addresses a structural design problem in control systems, and explicitly takes into consideration the possible application to large-scale systems. More precisely, we aim to determine and characterize the minimum number of manipulated state variables ensuring structural controllability of switched linear continuous-time systems. Towards this goal, we provide a new necessary and suffic...

Motivated by the development and deployment of large-scale dynamical systems, often comprised of geographically distributed smaller subsystems, we address the problem of verifying their controllability in a distributed manner. Specifically, we study controllability in the structural system theoretic sense, structural controllability, in which rather than focusing on a specific numerical system ...

Cognitive function is driven by dynamic interactions between large-scale neural circuits or networks, enabling behaviour. However, fundamental principles constraining these dynamic network processes have remained elusive. Here we use tools from control and network theories to offer a mechanistic explanation for how the brain moves between cognitive states drawn from the network organization of ...

We establish structural controllability results for matrix pairs [A, B] where .4=A0+Z piAi, B=B,+Z piB', with tho At, Bi fixed, and the pr free scalar parameters. Tho results characterize structural controllability in several wsys, via, tests involving the cllecking of the rank or the evaluation of the determinant of various constant matrices formed from t,he At, Bi. A number of the result,^ us...