@conference {
	title = {Some results on risk-sensitive control with partial information},
	author = {Baras, John S., Bensoussan, Alain., Elliott, Robert J.},
	year = {1995},
	month = {12/1995},
	abstract = {We consider in this presentation the risk-sensitive control problem with partial observation. Risk-sensitive Zakai and Kushner equations are established and studied. They are explicitly solved in all situations where the classical Zakai and Kushner equations can be solved. In these cases the solution of the control problem can be characterized nicely. Also, the small noise case is considered. The limit problem is a differential game with output control. The full justification of all the results is still a long range plan.},
	address = {New Orleans, Louisiana},
	booktitle = {The 34th IEEE Conference on Decision and Control},
	pages = {pp. 2853-2857}
}
@conference {
	title = {Sensor Scheduling Problems},
	author = {Baras, John S., Bensoussan, Alain.},
	year = {1988},
	month = {12/1988},
	abstract = {We consider the nonlinear filtering problem of a vector difussion process, 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 utilized 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 = {Austin, Texas},
	booktitle = {27th IEEE Conference on Decision and Control},
	pages = {pp. 2342-2345}
}
@article {
	title = {Dynamic Observers as Asymptotic Limits of Recursive Filters: Special Cases},
	author = {Baras, John S., Bensoussan, Alain., James, Matthew R.},
	year = {1988},
	month = {10/1988},
	abstract = {A method for constructing observers for dynamical systems as asymptotic limits of filters is described. The program is carried out in detail for linear systems, and in addition~an observer is obtained for a class of systems with nonlinear dynamics and linear observations. The method is motivated by some large deviation results of Hijab for certain conditional measures.},
	pages = {pp. 1147-1158},
	volume = {Vol. 48},
	number = {No.  5},
	journal = {SIAM Jounal on Applied Mathematics}
}
@conference {
	title = {Dynamic Observers as Asymptotic Limits of Recursive Filters: Special Cases},
	author = {Baras, John S., Bensoussan, Alain., James, M R.},
	year = {1987},
	month = {06/1987},
	abstract = {A method for constructing observers for dynamical systems as asymptotic~limits of filters is described. The program is carried out in detail for linear~systems, and in addition an observer is obtained for a class of systems with~nonlinear dynamics and linear observations. The method is motivated by~some large deviation results of Hijab for certain conditional measures.},
	address = {Phoenix, Arizona},
	booktitle = {The 1987 International Symposium on Mathematical Theory of Networks and Systems},
	pages = {pp. 1-31}
}
@conference {
	title = {An Impulse Control Problem for a Stochastic PDE Arising in Nonlinear Filtering},
	author = {Baras, John S., Bensoussan, Alain.},
	year = {1985},
	month = {12/1985},
	abstract = {We consider the nonlinear filtering problem of a vector diffusion process, 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 utilized 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, 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 = {Ft. Lauderdale, Florida},
	booktitle = {The 24th IEEE Conference on Decision and Control},
	pages = {pp. 1184-1187}
}
@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}
}
@article {
	title = {Optimal Sensor Scheduling in Nonlinear Filtering of Diffusion Processes},
	author = {Baras, John S., Bensoussan, Alain.},
	year = {1989},
	month = {07/1989},
	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 nimber of these observations (or sensors) can be sued 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.},
	pages = {pp. 786-813},
	volume = {Vol. 27},
	number = {No. 4},
	journal = {SIAM Journal on Control and Optimization}
}
@conference {
	title = {On Observer Problems for Systems Governed by Partial Differential Equations},
	author = {Baras, John S., Bensoussan, Alain.},
	booktitle = {Conference honoring Professor A.V. Balakrishnan on his 60th birthday}
}
