@conference {
	title = {Stability, Parameter Estimation and Adaptive Control for Discrete-Time Competing Queues},
	author = {Baras, John S., Dorsey, Arthur J., Makowski, Armand M.},
	year = {1984},
	month = {12/1984},
	abstract = {In this paper, several discrete-time queues compete~at the beginning of each time slot for the attention of a single server with infinite capacity. The service requirements are geometric with queue-dependent parameters, independent from customer to customer and independent from the arrivals. The stability of such systems is characterized under the action of an arbitrary , not necessarily Markovian, service allocation policy. Maximum likelihood estimates are obtained in explicit form for the service rates and their strong consistency is established.The results are then applied to the problem of adaptively controlling such systems when the service rates are unknown, under the long-run average performance criterion with instantaneous cost linear in the queue sizes.},
	address = {Las Vegas, Nevada},
	booktitle = {The 23rd IEEE Conference on Decision and Control},
	pages = {pp. 1149-1157}
}
@conference {
	title = {DELPHI: A CAD System for Integrated Design of Non-Gaussian Signal Processors},
	author = {Baras, John S., LaVigna, Anthony.},
	year = {1984},
	month = {12/1984},
	address = {Rome, Italy},
	booktitle = {The IFIP Conference on Recent Advances in Stochastic Estimation and Control}
}
@conference {
	title = {Complex Variables and Infinite Dimensional Linear Systems},
	author = {Baras, John S.},
	year = {1984},
	month = {12/1984},
	abstract = {Complex function algebras play a fundamental role in the analysis and synthesis of the linear infinite dimensional systems. In this talk, we present concrete applications of the complex variable methods to such problems as : stabilization, parametrization of stable controllers, spectral factorization, controller design. The mathematical topics discussed include : Corona theorems, algebraic functions, Hoo~ theory.},
	address = {Ontario, Canada},
	booktitle = {Canadian Mathematical Society, Annual Winter Meeting}
}
@conference {
	title = {Simultaneous Detection and Estimation for Diffusion Process Signals},
	author = {Baras, John S.},
	year = {1984},
	month = {07/1984},
	abstract = {We consider the problem of simultaneous detection and estimation when the signals corresponding to the M different hypotheses can be modelled as outputs of M distinct stochastic dynamical systems of the Ito type. Under very mild assumptions on the models and on the cost structure we show that there exist a set of sufficient statistics for the simultaneous detection-estimation problem that can be computed recursively by linear equations. Furthermore we show that the structure of the detector and estimator is completely determined by the cost structure. The methodology used employes recent advances in nonlinear filtering and stochastic control of partially observed stochastic systems of the Ito type. Specific examples and applications in radar tracking and discrimination problems are discussed.},
	address = {Budapest, Hungary},
	booktitle = {The 9th IFAC World Congress},
	pages = {pp. 59-64}
}
@conference {
	title = {Special Purpose VLSI Array Processors for the Zakai Equation and Applications},
	author = {Baras, John S.},
	year = {1984},
	month = {07/1984},
	address = {Budapest, Hungary},
	booktitle = {The 9th IFAC World Congress},
	pages = {pp. 40-42}
}
@conference {
	title = {Simultaneous Detection and Estimation for Diffusion Process Signals},
	author = {Baras, John S.},
	year = {1984},
	month = {06/1984},
	abstract = {We consider the problem of simultaneous detection and estimation when the signals corresponding to the M different hypotheses can be modelled as outputs of M distinct stochastic dynamical systems of the Ito type. Under very mild assumptions on the models and on the cost structure we show that there exist a set of sufficient statistics for the simultaneous detection-estimation problem that can be computed recursively by linear equations. Furthermore we show that the structure of the detector and estimator is completely determined by the cost structure. The methodology used employes recent advances in nonlinear filtering and stochastic control of partially observed stochastic systems of the Ito type. Specific examples and applications in radar tracking and discrimination problems are discussed.},
	address = {Nice, France},
	booktitle = {6th International Conference on Analysis and Optimization of Systems },
	pages = {pp. 471-484},
	organization = {INRIA}
}
@conference {
	title = {Discrete-Time Competing Queues with Geometric Service Requirements:  Stability, Parameter Estimation and Adaptive Control},
	author = {Baras, John S., Dorsey, Arthur J., Makowski, Armand M.},
	year = {1984},
	month = {05/1984},
	abstract = {In this paper, several discrete-time queues compete at the beginning of each time slot for the attention of a single server with infinite capacity. The service requirements are geometric with queue dependent parameters, independent from customer to customer and independent from the arrivals. The stability of such systems is characterized under the action~of an arbitrary, not necessarily Markovian, service allocation policy. Maximum likelihood estimates are obtained in explicit form for the service rates and their~strong consistency is established. The results are then applied to the problem of adaptively controlling such systems when the service rates are unknown, under the long-run average performance criterion with instantaneous cost linear in the queue sizes.},
	address = {San Francisco, California},
	booktitle = {1984 Joint TIMS/ORSA Meeting}
}
@conference {
	title = {Delight: LQG, a CAD System for Control System Design Using LQG Controller Structure},
	author = {Baras, John S., Fan, Michael K H., Nye, W T. , Tits, A L.},
	year = {1984},
	month = {03/1984},
	abstract = {A new CAD package for the design of control systems is presented. The package combines the powerful interactive optimization-based methodology of the DELIGHT system with the control theoretic design methodology known as LQG. The result is a powerful, self-contained design package which can be used to design controllers to practical engineering specifications in a highly interactive mode. An example from the design of a flight control system for a high performance aircraft is included.},
	address = {Princeton, New Jersey},
	booktitle = {The 1984 Princeton Conference on Information Sciences and Systems,},
	pages = {pp. 1-9}
}
@conference {
	title = {Optimal Sensor Scheduling in Nonlinear Filtering of Diffusion Processes},
	author = {Baras, John S., Bensoussan, Alain.},
	year = {1984},
	month = {01/1984},
	abstract = {The nonlinear filtering problem of a vector diffusion process is considered when several noisy vector observations with possibly different dimension of their range space are available. At each time any number of these observations (or sensors) can be used in the signal processing performed by the nonlinear filter. The problem considered is the optimal selection of a schedule of these sensors from the available set, so as to optimally estimate a function of the state at the final time. Optimality is measured by a combined performance measure that allocates penalties for errors in estimation, for switching between sensor schedules, and for running a sensor. The solution is obtained in the form of a system of quasi-variational inequalities in the space of solutions of certain Zakai equations.},
	address = {Louisville, Kentucky},
	booktitle = {Joint AMS-AMAA meeting},
	pages = {pp. 786-813}
}
