@conference {
	title = {Algorithms and Computational Aspects Pertaining to Block Diagonal Methods for Design of Decentralized Feedback Compensation},
	author = {Bennett, William H., Baras, John S.},
	year = {1982},
	month = {12/1982},
	abstract = {In a previous paper the notion of a block diagonally dominant transfer function matrix is used to provide criteria for the design of decentralized feedback control. In this paper we develop computer implementable algorithms for determining the block diagonal dominance condition. The algorithms are developed with consideration for numerical stability. Implementation of the algorithms in an interactive computing environment is suggested.},
	address = {Orlando, Florida},
	booktitle = {21st IEEE Conference on Decision and Control},
	pages = {pp. 479-484}
}
@conference {
	title = {Dynamic Observers as Asymptotic Limits of Recursive Filters},
	author = {Baras, John S., Krishnaprasad, P S.},
	year = {1982},
	month = {12/1982},
	abstract = {~

In this paper we discuss the ansatz: nonlinear observer = limit of nonlinear filter. The results of Vent-tsel{\textquoteright} and Freidlin on large deviations are useful in interpreting observer trajectories as {\textquoteright}most-likely{\textquoteright} paths.},
	address = {Orlando, Florida},
	booktitle = {21st IEEE Conference on Decision and Control},
	pages = {pp. 1126-1127}
}
@conference {
	title = {Local Stochastic Models in Large Scale Stochastic Hamiltonian Systems},
	author = {Blankenship,  Gilmer L., Baras, John S.},
	year = {1982},
	month = {10/1982},
	abstract = {We consider the problem of isolating the dynamical behavior of a portion of a system imbedded in a large stochastic system. The large scale system is assumed to have a Hamiltonian structure. The method employed is the derivation of the appropriate master equations. Several examples illustrate the theory.},
	address = {Virginia Beach, Virginia},
	booktitle = {The IEEE International Symposium on Large Scale Systems},
	pages = {pp. 474-478}
}
@conference {
	title = {Nonlinear Filtering of Diffusion Processes: Implementable Approximations of the Duncan-Mortensen-Zakai Equation},
	author = {Baras, John S.},
	year = {1982},
	month = {07/1982},
	abstract = {Numerical methods for the solution of the robust version of the~Duncan-Mortensen-Zakai partial differential equation are considered.~Both semidiscretization and complete~discretization schemes are~included. Direct implementation of such schemes via array processors~is proposed as a design method for nonlinear filters. The importance~of existence, uniqueness~and tail behavior of solutions is irelated to ~properties of such implementations.~},
	address = {Les Arcs, France},
	booktitle = {The 1982 IEEE International Symposium of Information Theory},
	pages = {pp. 1-4}
}
@conference {
	title = {Accurate Evaluation of Stochastic Wiener Integrals with Applications to Scattering and Nonlinear Filtering Problems},
	author = {Hopkins, William E., Blankenship,  Gilmer L., Baras, John S.},
	year = {1982},
	month = {01/1982},
	abstract = {Using s one approximation formulas for stochastic Wiener function Space integrals , it is possible to approximate~the~conditional densities which arise in the nonlinear filtering of diffusion processes to within O(n), with n \&gt;= 1 arbitrary, by n-fold ordinary integrals. The latter have the simple form of a {\textquoteright}rectangular rule", but their accuracy is an order of magnitude better . Then {\textendash} fold integral. can be further decomposed into a recursion involving in one dimensional integrals. The sequence is recursive in the increments of the observation process~in the filtering problem . It is not, however , recursive in time. The one dimensional integrals are naturally treated by an m - step Gaussian quadrature which has an error proportiona1 to nm! / 2" (2 m) : ). (The proportionality constant can be estimated and optimized. ) The computation of these individual integrals can be reduced further by exploiting~certain inherent symmetries of the problem, and by doing some preliminary, {\textquoteright}off-line{\textquoteright} computing. The end result is a highly accurate, computationally efficient numerical algorithm for ~evaluating conditional densities for a substantial class of non linear filtering problems . By accepting light reductions~in accuracy , One can Obtain an algorithm (apparently) fast enough, when efficiently coded, for "Online" recursive filtering in real-time~},
	address = {Shanghai, Peoples Republic of China, Gordon and Breach, New York},
	booktitle = {Recent Developments in Control Theory and its Applications, Proceedings of IEEE--Chinese Association for Automation, Bilateral Meeting on Control Systems},
	pages = {pp. 54-68}
}
