Abstract. Motivated by three applications which are under investigation at the Honeywell Research Laboratory in Minneapolis, we introduce a class of large scale control problems. I...
In this paper we present a general hybrid systems modeling framework to describe the flow of traffic in communication networks. To characterize network behavior, these models use...
In this paper we propose a Neural Net-PMRS hybrid for forecasting time-series data. The neural network model uses the traditional MLP architecture and backpropagation method of tr...
This paper extends the application of the Cantor metric as a mathematical tool for defining causalities from pure discrete models to mixed-signal and hybrid models. Using the Cant...
roperty Verification by Abstraction Refinement with Formal, Simulation and Hybrid Engines Dong Wang , Pei-Hsin Ho , Jiang Long , James Kukula Yunshan Zhu , Tony Ma , Robert D...
Dong Wang, Pei-Hsin Ho, Jiang Long, James H. Kukul...