The neural network (NN) models well trained and validated by the same data may exhibit noticeably different predictabilities in applications. This is mainly due to the fact that t...
Workload characterization involves the understanding of the relationship between workload configurations and performance characteristics. To better assess the complexity of worklo...
Richard M. Yoo, Han Lee, Kingsum Chow, Hsien-Hsin ...
—This paper proposes a framework for determining the correctness and robustness of simulations of hybrid systems. The focus is on simulations generated from model-based design en...
Georgios E. Fainekos, Sriram Sankaranarayanan, Fra...
In this paper, a control oriented nonlinear model is developed for a fuel cell based auxiliary power unit which includes a solid oxide fuel cell, an autothermal reforming, and a ba...
This tutorial reports on the use of nonlinear dynamics in several different models of neural systems. We discuss a number of distinct approaches to neural information processing ba...