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American control Conference (ACC)

作者： M.S. Branicky Laboratory for Information and Decision Systems and Electrical Engineering and Computer Science Department Massachusetts Institute of Technology Cambridge MA USA

This paper details work on ordinary differential equations that continuously switch among regimes of operation. In the first part, we develop some tools for analyzing such systems. We prove an extension of Bendixson's theorem to the case of Lipschitz continuous vector fields. We also prove a lemma dealing with the robustness of differential equations with respect to perturbations that preserve a linear part, which we call the linear robustness lemma (LRL). We then give some simple propositions that allow us to use this lemma in studying certain singular perturbation problems. In the second part, the attention focuses on example systems and their analysis. We use the tools from the first part and develop some general insights. The example systems arise from a realistic aircraft control problem. The extension of Bendixson's theorem and the LRL have applicability beyond the systems discussed in this paper.

关键词： Switching systems Switches Elevators Robustness Differential equations Aerospace control Angular velocity Laboratories Vectors Prototypes

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A feedback limitation of decentralized controllers for TITO systems, with application to a reactive ion etcher

A feedback limitation of decentralized controllers for TITO ...

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IEEE Conference on decision and control

作者： J.S. Freudenberg J.W. Grizzle B.A. Rashap Electronics Manufacturing and Control Systems Laboratory Department of Electrical Engineering and Computer Science University of Michigan Ann Arbor MI USA

This paper explores an inherent feedback limitation of using decentralized LTI control on a two-input, two-output LTI plant. The result is motivated by, and illustrated on, a reactive ion etcher.

This paper explores an inherent feedback limitation of using decentralized LTI control on a two-input, two-output LTI plant. The result is motivated by, and illustrated on, a reactive ion etcher.< >

关键词： Feedback control systems Etching Centralized control Actuators Chemical processes Plasma applications computer aided manufacturing Semiconductor device noise Power system modeling

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Efficient two-dimensional ARX modeling

Efficient two-dimensional ARX modeling

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IEEE International Conference on Image Processing

作者： G.-O. Glentis C.H. Slump O.E. Herrmann Department of Electrical Engineering Control Systems and Computer Engineering Group BSC Laboratory for Network Theory and VLSI-Design University of Twente Enschede Netherlands

In this paper a fast spatial adaptive algorithm is presented for the efficient least squares (LS), autoregressive exogenous (ARX), two-dimensional (2-D) modeling. Filter masks of general boundaries are allowed. Efficient space updating recursions are developed by exploiting the spatial shift invariance property of the 2-D data set.< >

关键词： Least squares methods Finite impulse response filter Image edge detection Equations Shape Vectors control systems control engineering computing computer networks systems engineering and theory

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A versatile algorithm for two-dimensional symmetric noncausal modeling

A versatile algorithm for two-dimensional symmetric noncausa...

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IEEE International Conference on Image Processing

作者： G.-O. Glentis C.H. Slump O.E. Herrmann Department of Electrical Engineering Control Systems and Computer Engineering Group (BSC) Laboratory for Network Theory and VLSI-Design University of Twente Enschede Netherlands

In this paper a novel algorithm is presented for the efficient two-dimensional (2-D) symmetric noncausal finite impulse response (FIR) filtering and autoregressive (AR) modeling. Symmetric filter masks of general boundaries are allowed. The proposed algorithm offers the greatest maneuverability in the 2-D index space in a computational efficient way. This flexibility can be taken into advantage if the shape of the 2-D mask is not a priori known and has to be dynamically configured.< >

关键词： Finite impulse response filter Nonlinear filters Autocorrelation Equations Vectors Virtual manufacturing Filtering algorithms control system synthesis control engineering computing computer networks

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Interpolation and numerical differentiation for observer design

Interpolation and numerical differentiation for observer des...

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American control Conference (ACC)

作者： S. Diop J.W. Grizzle P.E. Moraal A. Stefanopoulou The Control Systems Laboratory of the Dept. Elect. Eng. and Comp. Sci. U. of Michigan Control Systems Laboratory Department of Electrical Engineering and Computer Science University of Michigan AnnArbor MI

This paper explores interpolation and numerical differentiation as a basis for constructing a new approach to the design of nonlinear observers.

关键词： Interpolation control systems Observers Sampling methods Laboratories Equations Observability State estimation Sampled data systems Numerical analysis

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Polygon reconstruction from moments using array processing

Polygon reconstruction from moments using array processing

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IEEE Digital Signal Processing Workshop

作者： P. Milanfar G.C. Verghese W.C. Karl A.S. Willsky SRI International Inc. Menlo Park CA USA Laboratory for Information and Decision Systems Department of Electrical Engineering and Computer Science Massachusetts Institute of Technology Cambridge MA USA

We prove a set of results showing that the vertices of any simply-connected planar polygonal region can be reconstructed from a finite number of its complex moments using array processing. In particular, we derive and illustrate several new algorithms for the reconstruction of the vertices of simply-connected polygons from moments. These results find applications in a variety of apparently disparate areas such as computerized tomography and inverse potential theory, where in the former it is of interest in estimating the shape of an object from a finite number of its projections; while in the latter, the objective is to extract the shape of a gravitating body from measurements of its exterior logarithmic potentials at a finite number of points. The applications of the algorithms, we develop, to tomography hence expose a seemingly deep connection between the fields of tomography and array processing. This connection implies that a host of numerical algorithms such as MUSIC, Min-norm, and Prony are now available for application to tomographic reconstruction problems.< >

关键词： Array signal processing Image reconstruction Shape measurement Laboratories Computed tomography Area measurement Multiple signal classification Graphics

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H/sub /spl infin// control and estimation problems with delayed measurements: state space solutions

H/sub /spl infin// control and estimation problems with dela...

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American control Conference (ACC)

作者： K.M. Nagpal R. Ravi Electrical & Computer Engineering Department University of Iowa Iowa IA USA GE Cor rate Research & Development Control Systems and Electronic Technologies Laboratory Schenectady NY USA

Necessary and sufficient conditions for existence of estimators and controllers meeting desired H/sub /spl infin// performance criterion are given for the case where the finite sensor delays exist. A complete characterization of such controllers is also presented. The necessary and sufficient conditions are computable and are framed in terms of two algebraic Riccati equations and one finite-horizon Riccati differential equation. The controllers and estimators that are obtained here have a linear periodic structure and are easily implementable. At the foundation of these results lies a modified Nehari problem, the state space solution for which may be of independent interest.

关键词： Delay estimation State estimation State-space methods Riccati equations Sufficient conditions Differential equations control systems Sensor phenomena and characterization Differential algebraic equations Periodic structures

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HYBRID SATELLITE AND TERRESTRIAL NETWORKS

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INTERNATIONAL JOURNAL OF SATELLITE COMMUNICATIONS 1994年第3期12卷 313-327页

作者： CHITRE, DM SHYY, DJ EPHREMIDES, A GUPTA, S COMSAT Laboratories 22300 Comsat Drive Clarksburg MD 20871–9475 USA. Received his B.Sc. from the University of Bombay India an M.A. in mathematics from the University of Cambridge U.K. and a Ph.D. in physics from the University of Maryland. He is currently an Associate Executive Director of the Network Technology Division at COMSAT Laboratories. He has been involved in research and development activities in ISDN VSAT networks data communications and network systems and architectures. Prior to his current positions Dr. Chitre was a Principal Scientist in the Network Technology Division at COMSAT Laboratories. Dr. Chitre joined COMSAT Laboratories in 1980. He has made major contributions to the analysis and architecture of data communication ISDN and BISDN via satellite. Dr. Chitre directs and participates in the international and national standards activities in ISDN BISDN and data communication as they apply to satellite communication. He was Chairman of the Working Group on Protocols and Network Timing Function of the CCIR/CCITT Joint Ad Hoc Group on ISDN/Satellite Matters during 1990–1992. Currently he is the Chairman of the Working Group on New Technologies in the ITU Intersector Coordinating Group (ICG) on Satellite Matters. Dr. Chitre was a programme manager during 1990 and 1991 on a contract from INTELSAT on systems studies on satellite communications systems architectures for ISDN and broadband ISDN systems. Currently he is the technical manager of the DoD Contract on ATM via satellite demonstration and the programme manager for the INTELSAT contract on analysis and top-level specification of INTELSAT ISDN subnetworks and SDH compatible transport network. Received the B.S. degree in electrical engineering from national Chiao-Tung University Hsin-Chu Taiwan in 1983 and the M.S. and Ph.D. degrees in electrical engineering from Georgia Institute of Technology Atlanta GA in 1986 and 1990 respectively. From June 1987 to October 1987 he worked for the Department of Neurology Emory Univers

The role of satellite communications in networks that provide new services, such as frame relay and multimedia, is investigated. Both passive and active (on-board switching/processing) satellite systems are considered. Novel techniques are developed for each system to demonstrate, via detailed analysis and simulation, how the communications bandwidth agility of multipoint/broadcast satellite channels, and the on-board switching/processing, makes it feasible to provide these new services via hybrid satellite and terrestrial networks in a resource-efficient manner.

关键词： HYBRID NETWORKS ON-BOARD PROCESSING FRAME RELAY

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Comparative study of self-organizing neural networks

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International Workshop on Artificial Neural Networks, IWANN 1993

作者： Wann, Chin-Der Thomopoulos, Stelios C. A. Decision and Control Systems Laboratory Department of Electrical and Computer Engineering The Pennsylvania State University University ParkPA16802 United States

ISBN: (纸本)9783540567981

A benchmark study of self-organizing neural network models is conducted. The comparison of advantages and disadvantages of unsupervised learning artificial neural networks are discussed. The unsupervised learning artificial neural networks discussed in this paper include adaptive resonance theory (ART2), DIGNET, self-organizing feature map, and learning vector quantization (LVQ). For the benchmark study of artificial neural network applications on data clustering and pattern recognition problems with additive gaussian noise, we compare the performance of the unsupervised learning systems, ART2 and DIGNET. Results of computer simulation show that both AR.T2 and DIGNET achieve good performance on pattern clustering, but DIGNET is faster in the learning process and has better results on the overall clustering performance. © Springer-Verlag Berlin Heidelberg 1993.

关键词： Unsupervised learning

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Comparative study of self-organizing neural networks in signal detection and classification 1

Comparative study of self-organizing neural networks in sign...

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1st IEEE Regional Conference on Aerospace control systems, AEROCS 1993

作者： Wann, Chin-Der Thomopoulos, S.C.A. Department of Electrical and Computer Engineering Pennsylvania State University Decision and Control Systems Laboratory University ParkPA16802 United States

A benchmark study of two self-organizing artificial neural network models, ART2 and DIGNET, is conducted. The architecture differences and learning procedures between these two models are compared. The performance of ART2 and DIGNET on data clustering and signal detection problems with noise or interference is investigated by comparative simulations. It is shown that DIGNET generally has faster learning and better clustering performance on the statistical pattern recognition problems. DIGNET has a simpler architecture, and the system parameters can be analytically determined from the self-organizing process. The threshold value used in DIGNET can be specifically determined from a given lower bound on the desirable signal-to-noise ratio (SNR). The networks discussed in this paper are applied and benchmarked against clustering and signal detection problems. © 1993 IEEE.

关键词： Clustering algorithms

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