Subspace identification has proven useful when identifying identifying multi-input multi-output systems. It is, however, important in many applications to take a priori structural ...
We consider a network consisting of n interconnected nonlinear subsystems. For each subsystem an ISS Lyapunov function is given that treats the other subsystems as independent inpu...
—Large scale systems (LSS) contain multiple subsystems that interact across multiple nodes in sometimes unforeseen and complicated ways. As a result, pinpointing the subsystems t...
In previous work, we have developed a "Glance-Look" model, which has replicated a broad profile of data on the semantic Attentional Blink (AB) task and characterized how ...
— This paper considers networks consisting of integral input-to-state stable (iISS) subsystems and addresses the problem of verifying iISS property of a given network. First, we ...
This paper surveys a variety of subsystems designed to be the building blocks from which sophisticated infrastructures for ubiquitous computing are assembled. Our experience shows...
Martin Modahl, Bikash Agarwalla, Gregory D. Abowd,...
— We propose a novel modular underwater robot which can self-reconfigure by stacking and unstacking its component modules. Applications for this robot include underwater monitor...
Iuliu Vasilescu, Paulina Varshavskaya, Keith Kotay...
Coupling and cohesion between subsystems are commonly studied metrics when analyzing the architecture of software systems. It is usually desirable for subsystems to have high cohe...
Reverse engineering legacy software systems often involves the employment of clustering algorithms that automatically decompose a software system into subsystems. The decompositio...
This paper presents algorithms that (1) facilitate systemindependent synthesis of timing-interfaces for subsystems and (2) system-level selection of interfaces to minimize CPU loa...
Insik Shin, Moris Behnam, Thomas Nolte, Mikael Nol...