This paper studies the input design problem for system identification where time domain constraints have to be considered. A finite Markov chain is used to model the input of the s...
Virtually all methods of learning dynamic systems from data start from the same basic assumption: that the learning algorithm will be provided with a sequence, or trajectory, of d...
We analyze alternative market designs for a multisettlement system for electricity in which the resolution of the transmission network model is increased as time approaches real-t...
This paper presents an application of Cellular Automata in the field of dry Granular Systems modelling. While the study of granular systems is not a recent field, no efficient mo...
Creating a simulation of a large enterprise system by manually coding all the details into a simulator tool is not just time consuming, but yields a system that is difficult to ma...
Gregory A. Harrison, David S. Maynard, Eytan Polla...