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Polynomial matrices over fields and rings provide a unifying framework for many control system design problems. These include dynamic compensator design, infinite dimensional systems, controllers for nonlinear systems, and ...

Kohonen's Learning Vector Quantization (LVQ) is a neural network architecture that performs nonparametric classification. It classifies observations by comparing them to k templates called Voronoi vectors. The locations ...

Chapman's paper, "Planning for Conjunctive Goals", has been widely acknowledged for its contribution toward understanding the nature of nonlinear (partial-order) planning, and it has been one of the bases of later work by ...

A systematic approach to statistical simulation for large scale analog circuits is presented. The statistical model takes into account mismatch between devices due to variations in the process and noise, as well as interdie ...

Planning the manufacture of machined parts requires a great deal of geometric reasoning. One of the key steps in this task is the derivation of machinable features from a solid model of the part. Regardless of the approach ...

The paper studies stability and stabilizability of Discrete event Dynamical Systems (DEDS's) in the framework of Ramadge and Wonham. We define stability and stabilizability in terms of the behavior of the DEDS's, i.e. the ...

The time-recursive computation model has been proven as a particularly useful tool in audio, video, radar and sonar real- time data processing architectures. Unlike the FFT based architectures, the time-recursive ones ...

This thesis presents a new approach to frequency domain design of robust controllers for distributed parameter systems. The central idea is to use techniques from complex analysis, that were developed for the solution of ...

The ability to quickly introduce new quality products is a decisive factor in capturing market share. Because of pressing demands to reduce lead time, analyzing the manufacturability of the proposed design has become an ...

The QRD RLS algorithm is generally recognized as having good numerical properties under finite-precision implementation. Also, it is very suitable for VLSI implementation since it can be easily mapped onto a systolic array. ...