@conference {
	title = {Bilinear Hereditary Differential Systems: State Space Models in Hilbert Space},
	author = {Baras, John S.},
	year = {1976},
	month = {12/1976},
	abstract = {We analyze here state space models for bilinear hereditary differential systems of various levels of complexity. It is shown that for many reasons it is more convenient to develop state space models in Hilbert spaces, following the method of Delfour and Mitter. In certain cases~explicit bilinear operational differential equations are obtained that illustrate the way the controls influence the spectrum of the infinitesimal generator of the system. Certain connections with the theory of Lie senigroups are also discussed.},
	address = {Clearwater, Florida},
	booktitle = {1976 Conference on Decision and Control (CDC)},
	pages = {pp. 148-149}
}
@conference {
	title = {Filtering Techniques For Urban Traffic Data},
	author = {Baras, John S., Levine, William S.},
	year = {1976},
	month = {12/1976},
	abstract = {There is evidence that the algorithms for estimating traffic flows from sensor data need to be improved before computer controlled traffic responsive urban traffic control systems can reach their full potential effectiveness . A large part of the problem appears to be that the data - from traffic sensors is, in the statistical jargon, a marked point process. It is only very recently that the theoretical techniques for estimation based on point process data have reached the sophistication needed for traffic problems. In this paper, these techniques are used to derive several recursive algorithms for filtering traffic sensor data and predicting urban traffic flows. These filters and predictors are then evaluated and compared using simulated traffic data .},
	address = {Clearwater, Florida},
	booktitle = {1976 Conference on Decision and Control (CDC)},
	pages = {pp. 1297-1298}
}
