In this paper, we study the problem of controlling complex networks with unilateral controls, i.e., controls which can assume only positive or negative values, not both. Given a complex network ...
In the modelic control paradigm, the first step is to establish a dynamic model through system identification. This model offers a continuous but inaccurate description of state transition information ...
Abstract: In this article, we initiate the strong structural controllability of Boolean networks (BNs), in order to cope with the difficulty of identifying intricate nodal dynamics. The derived ...
In this paper we present an analogous result of the famous Kalman controllability criterion for first order linear ordinary differential equations with constant coefficients that applies to the case ...
Abstract: In this paper, the problem of controllability of Boolean control networks (BCNs) with multiple time delays in both states and controls is investigated. First, the controllability problem of ...
Control processes associated with working memory play a central role in human cognition, but their underlying dynamic brain circuit mechanisms are poorly understood. Here we use system identification, ...
ControlNet++ Improving Conditional Controls with Efficient Consistency Feedback To enhance the controllability of text-to-image diffusion models, existing efforts like ControlNet incorporated ...
Controllability = expressivity you can prove[1]. Why does this matter in constrained quantum optimization? If the dynamical Lie algebra generated by your allowed controls (i.e., your gate set) is a ...
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