@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}
}
@conference {
	title = {Filtering and Prediction Algorithms for Urban Traffic Control Systems},
	author = {Baras, John S., Levine, William S.},
	year = {1976},
	month = {07/1976},
	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. Thus, this paper~describes and illustrates the way in which these techniques are being applied~to the design of algorithms for filtering and prediction of urban traffic flows.},
	address = {Los Angeles, California},
	booktitle = {4th Intersociety Conference on Transportation},
	pages = {pp. 1-17}
}
@conference {
	title = {Linear Filtering with Quantum Mechanical Measurements},
	author = {Baras, John S., Harger, Robert O.},
	year = {1976},
	month = {06/1976},
	abstract = {Filtering problems arising in the quantum electronics are investigated in the quantum mechanical framework. In particular the minimum varience linear estimator based on optimal selection of the present quantum measurement and optimal linear processing of past and present outcomes is found for vector signal processes. Under certain natural assumptions a separation theorum is for the filter is proven~which leads to consideable simplification of the complexity of the filter. Examples from optical communication systems provide a recursive filters and illustrate the results.},
	address = {Leningrad, USSR},
	booktitle = {4th International Symposium on Information Theory},
	pages = {PP. 172-179}
}
@conference {
	title = {Conditional Expectations and Fock Space Representations in Quantum Filtering},
	author = {Baras, John S., Harger, Robert O.},
	year = {1976},
	month = {06/1976},
	abstract = {The role on conditional expectations on von Neumann algebras in the theory of quantum filtering is investigated. The relations characterising the solutions of various quantum filtering problems are interpreted via the notion of conditional expectation. The equations that describe optimal linear quantum filters are represented in Fock space of the analytical functions, and the usefulness of this representation is discussed. Finally some priliminary results on the applications of these methods in non-linear and continous time filtering are described.},
	address = {Leningrad, USSR},
	booktitle = {4th International Symposium on Information Theory},
	pages = {pp. 180-185}
}
@conference {
	title = {Infinite Dimensional Filtering Problems in Optical Communication Systems},
	author = {Baras, John S.},
	year = {1976},
	month = {06/1976},
	abstract = {Several filtering problems utilizing quantum mechanical measurements are discussed and formulated as optimization problems in infinite dimensional spaces. the solution to some of these problems and their physical interpretation is given, Two examples illustrate the implementation of the mathematical results.},
	address = {Rome, Italy},
	booktitle = {IFIP Working Conference on Distributed Parameter Systems},
	pages = {pp. 128-137}
}
@conference {
	title = {Chandrasekhar Algorithms for Linear Time Varying Distributed Systems},
	author = {Baras, John S., Lainiotis, Demetrios G.},
	year = {1976},
	month = {03/1976},
	abstract = {Generalized Chandrasekhar type algorithms are obtained that are applicable to linear time varying as well as time-invariant distributed systems. Utilizing the framework of J.H. Lions for quadratic controla and the framework of A. Bensoussan for filtering of linear distributed systems we analyze the implications of these algorithms.},
	address = {Baltimore, Maryland},
	booktitle = {1976 Conference on Information Sciences and Systems},
	pages = {pp. 269-274},
	organization = {Johns Hopkins University}
}
