@conference {
	title = {Nonlinear H$\infty$ Control},
	author = {Baras, John S., James, Matthew R.},
	year = {1994},
	month = {12/1994},
	abstract = {This paper discusses various aspects of recent developments concerning the robust Hoo problem for continuous-time nonlinear systems. In the state feedback case, the problem can be solved in the framework of dissipative systems, and the associated storage functions solve the PDI in the viscosity sense. The main problem is then one of controller synthesis. In the output feedback case, the information state concept provides the appropriate framework. The solution is expressed in terms of a PDE for the information state (filter), and an infinite dimensional PDE or dissipation-type PDI for the value function (control). The attendant mathematical issues are discussed.},
	address = {Lake Buena Vista, Florida},
	booktitle = {The 33rd CDC Conference},
	pages = {pp. 1435-1438}
}
@conference {
	title = {Robust H$\infty$ Output Feedback Control of Bilinear Systems},
	author = {Teolis, Carole A., Yuliar, S., James, Matthew R., Baras, John S.},
	year = {1994},
	month = {12/1994},
	abstract = {In this paper we present a solution to the robust Hoo output feedback control problem for bilinear systems over a finite time interval. The solution is obtained through the use of the information state method. We discuss the relation of the information state controller with the certainty equivalence controller under smoothness and uniqueness assumptions. Finally, numerical examples are provided to illustrate implementation issues of the information state feedback controller.},
	address = {Lake Buena Vista, Florida},
	booktitle = {The 33rd CDC Conference},
	pages = {pp. 1421-1426}
}
@conference {
	title = {Object Oriented Hybrid Network Simulation},
	author = {Baras, John S., Murad, Ahsun H., Jang, Kap D., Atallah, George C., Karne, Ramesh K., Campanella, Joseph S.},
	year = {1994},
	month = {11/1994},
	abstract = {The simulation of complex contemporary hybrid communication networks is a daunting task and cannot be handled by the array of conventional network simulation tools available today. This paper discusses the key issues involved in the visualization and simulation of complex hybrid networks and presents the design of an object-oriented hybrid network simulator being developed at the Center for Satellite and Hybrid Communication Networks (a NASA center for the commercial development of space), University of Maryland at College Park. This software incorporates a complex system simulation paradigm, advanced visualization techniques, a flexible interface and an object-oriented database to allow the simulator to be used not only as a network simulation tool, but also as a network design tool, as a network performance evaluation tool, and as part of an intelligent network management software.},
	address = {Washington DC},
	booktitle = {The Technology 2004 Conference}
}
@conference {
	title = {A System Design for a Hybrid Network Terminal Using Asymmetric TCP/IP to Support Internet Applications},
	author = {Falk, Aaron David., Suphasindhu, Narin., Dillon, Douglas., Baras, John S.},
	year = {1994},
	month = {11/1994},
	abstract = {The purpose of this paper is to describe the system design process used to build a prototype terminal which uses a hybrid satellite-terrestrial connection and "asymmetric" TCP/IP network protocols to give the computer user who has a minimum bandwidth modem connection to the Internet access to bandwidth hungry Internet applications.},
	address = {Washington DC},
	booktitle = {The Technology 2004 Conference}
}
@conference {
	title = {Derivation of Fuzzy Rules for Parameter Free PID Gain Tuning},
	author = {Baras, John S., Patel, Nital S.},
	year = {1994},
	month = {05/1994},
	abstract = {In this paper, rules for a fuzzy logic based PID tuner (expert) for stable dominant pole plants with large rise times are derived. Applications of the expert to separator temperature control, and to pH control are presented. It is observed that the expert can successfully tune the PID gains without requiring any process identification.},
	address = {Kyoto, Japan},
	booktitle = {The IFAC Symposium on Advanced Control of Chemical Processes (ADCHEM{\textquoteright}94)},
	pages = {pp. 319-324}
}
@conference {
	title = {Model Based Automatic Target Recognition from High Range Resolution Radar Returns},
	author = {Baras, John S., Wolk, Sheldon I.},
	year = {1994},
	month = {04/1994},
	abstract = {Economic descriptions of objects are essential for model-based ATR. We develop economic target descriptions based on high range resolution target returns, utilizing wavelet multiresolution representations and Tree Structured Vector Quantization, in its clustering mode. The algorithm automatically constructs the multi-scale aspect graph of the target, which is a most efficient model that guides the on-line ATR algorithm. This results in a progressive coding of the target model information and in an extremely efficient, hierarchical indexing of the stored target models. As a final outcome we obtain extremely fast recovery, search and matching during the on-line ATR operation. In addition, these scale space (or multiresolution) representations can be used to generate target fingerprints across a range of scales, unavailable heretofore, which aid substantially in target recognition even with occluded or spurious data.

We have Successfully addressed the problem of reducing the target model representations with respect to viewpoint variations and other sensor parametric variations. Our method can be viewed as a quantization of the space of sensing operations. The resulting aspect graph is a (relational) graph representation of this quantization. Aspect graphs of target radar returns are generated algorithmically. Since our off-line model/parameter tuning methods are based on general vector quantization, our methods extend naturally and efficiently to multi-sensor data: LADAR, TV, mmWave, SAR, etc..

We also investigate~the so-called new target insertion problem in a fielded ATR system, and the required fast re-programmability of the ATR system. We compare the performance and cost (both computational and hardware) of ATR algorithms based on the parallel use of single target aspect graphs vs ATR algorithms using the combined aspect graph for the group of targets under consideration. We show that efficient real-time ATR algorithms can be constructed using the aspect graph of each target in a parallel computation. The resulting architecture includes wavelet preprocessing with neural networks postprocessing. We use synthetic radar returns from ships as the experimental data to demonstrate the performance of the resulting ATR algorithm.},
	address = {Orlando, FL},
	booktitle = {The SPIE International Symposium on Intelligent Information Systems},
	pages = {pp. 57-66}
}
@conference {
	title = {Optimal Wavelet Basis Selection for Signal Representation},
	author = {Zhuang, Yan., Baras, John S.},
	year = {1994},
	month = {04/1994},
	abstract = {We study the problem of choosing an optimal wavelet basis with compact support for signal representation and provide a general algorithm for computing the optimal wavelet basis. We first briefly review the multiresolution property of wavelet decompositions and the conditions for generating an Orthonormal basis of compactly supported discrete wavelets in terms of properties of quadrature mirror filter (QMF) banks. We then parameterize the mother wavelet and scaling function of wavelet systems through a set of real coefficients. We further introduce the concept of decomposition entropy as an information measure to describe the distance between a given signal and its projection onto the subspace spanned by the wavelet basis in which the signal is to be reconstructed. The optimal basis for the given signal is obtained through minimizing this information measure. We have obtained explicitly the sensitivity of dilations and shifts of the mother wavelet with respect to the coefficient set. A systematic approach is developed in this paper to derive the information gradient with respect to the parameter set from a given square integrable signal and an initial discrete basis of wavelets. The existence of the optimal basis for the wavelets has been proven in this paper. A gradient based Optimization algorithm is developed for computing the optimal wavelet basis.},
	address = {Orlando, FL},
	booktitle = {The SPIE International Symposium on Intelligent Information Systems},
	pages = {pp. 200-211}
}
@conference {
	title = {Wavelet Based Progressive Classification of High Range Resolution Radar Returns},
	author = {Baras, John S., Wolk, Sheldon I.},
	year = {1994},
	month = {04/1994},
	abstract = {We investigate the problem of fast and accurate classification of high range resolution radar returns from ships. In addition, we investigate the problem of efficient organization of large databases of pulsed high resolution radar returns from multiple targets in order to economize memory requirements and minimize search time. We use synthetic radar returns from ships as the experimental data. We develop a novel algorithm for hierarchically organizing the database which utilizes a multiresolution wavelet representation working in synergy with a Tree Structured Vector Quantizer (TSVQ), utilized in its clustering mode. The tree structure is induced by the multiresolution decomposition of the radar returns. The TSVQ design algorithm is of the "greedy{\textquotedblright} type. We demonstrate that our algorithm automatically computes the aspect graph (i.e. the simultaneous representation of compressed pulses as functions of aspect and elevation) for a single target or for a group of targets. We also develop a novel optimization framework for the simultaneous design of the wavelet basis, the Tree-Structured Vector Quantizer and the Classification rule. We describe an efficient and promising implementation consisting of an adaptive Wavelet Transform - Tree Structured Vector Quantization with Learning. We show experimental results which indicate that the combined algorithm executes orders of magnitude faster data search time, with negligible performance degradation (as measured by rate-distortion curves).},
	address = {Orlando, FL},
	booktitle = {The SPIE International Symposium on Intelligent Information Systems},
	pages = {pp. 967-977}
}
@conference {
	title = {Shape Optimization of Distributed Sensors and Actuators for Smart Structure Control},
	author = {Zhuang, Yan., Baras, John S.},
	year = {1994},
	month = {02/1994},
	abstract = {We describe a design technique for optimal control in active structural vibration damping using smart materials. The vibration of a cantilever beam is stabilized by feedback the weighted integration of vibration velocity in the closed loop system through the application of distributed sensors and actuators made of smart materials. We model the beam by the Timoshenko beam model embedded with the distributed sensors and actuators to account for the shear and inertial effects on the structures. We propose an algorithm to find the optimal placement of the actuators and sensors so as to maximize the damping effect. An objective functional is defined based on the vibration energy of the system. The optimal shapes of the sensor and actuator are determined through minimizing the energy functional of the beam over the admissible shape function space subject to certain constraints. This~approach can be generalized to cases of plate damping and active control of more complicated smart structures as well.},
	address = {Orlando, FL},
	booktitle = {The SPIE: 1994 North American Conference on Smart Structures and Materials},
	pages = {pp. 381-388}
}
