@conference {
	title = {Convergence of a Neural Network Classifier},
	author = {Baras, John S., LaVigna, Anthony.},
	year = {1990},
	month = {12/1990},
	abstract = {In this paper, we show that the LVQ learning algorithm converges to locally asymptotic stable equilibria of an ordinary differential equation. We show that the learning algorithm performs stochastic approximation. Convergence of the Voronoi vectors is guaranteed under the appropriate conditions on the underlying statistics of the classification problem. We also present a modification to the learning algorithm which we argue results in convergence of the LVQ~for a larger set of initial conditions. Finally, we show that LVQ~is a general histogram classifier and that its risk converges to the Bayesian optimal risk as the appropriate parameters go to infinity with the number~of past observations.},
	address = {Honolulu, Hawaii},
	booktitle = {The 29th Conference on Decision and Control (CDC)},
	pages = {pp. 1735-1740}
}
@conference {
	title = {Real-Time Control for a Zero Gravity Robotic End Effector},
	author = {Teolis, Carole A., Baras, John S.},
	year = {1990},
	month = {12/1990},
	abstract = {The ability to easily manipulate objects in a zero gravity environment will play a key role in future space activities. Emphasis will be placed on robotic manipulation. This will serve to increase astronaut safety and utility in addition to several other benefits. It is the aim of this research to develop control laws for the zero gravity robotic end effector designed by engineers at NASA Goddard. A hybrid force/position controller will be used. Sensory data available to the controller are obtained from an array of strain gauges and a linear potentiometer. Applying well known optimal control theoretic principles, the control which minimizes the transition time between positions is obtained. A robust force control scheme is developed which allows the desired holding force to be achieved smoothly without oscillation. In addition, an algorithm is found to determine contact force and contact location.},
	address = {Honolulu, Hawaii},
	booktitle = {The 29th Conference on Decision and Control (CDC)},
	pages = {pp. 3138-3142}
}
@conference {
	title = {Fast Error-Free Algorithms for Polynomial Matrix Computations},
	author = {Baras, John S., MacEnany, David C., Munach, Robert Lawrence.},
	year = {1990},
	month = {12/1990},
	abstract = {Matrices of polynomials over rings and fields provide a unifying framework for many control system design problems. These include dynamic compensator design, infinite dimensional systems, controllers for nonlinear systems, and even controllers for discrete events stems. An important obstacle for utilizing these powerful mathematical tools in practical applications has been the non-availability of accurate and efficient algorithms to carry through the precise error-free computations required by these algebraic methods. In this paper we develop highly efficient, error-free algorithms, for most of the important computations needed in near systems over fields or rings. We show that the structure of the underlying rings and modules is critical in designing such algorithms.},
	address = {Honolulu, Hawaii},
	booktitle = {The 29th Conference on Decision and Control (CDC)},
	pages = {pp. 941-946}
}
