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The Unknown Component Problem: Theory and Applications

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The Problem of the Unknown Component: Theory and Applications addresses the issue of designing a component that, combined with a known part of a system, conforms to an overall specification. The authors tackle this problem by solving abstract equations over a language. The most general solutions are studied when both synchronous and parallel composition operators are used. The abstract equations are specialized to languages associated with important classes of automata used for modeling systems.

The book is a blend of theory and practice, which includes a description of a software package with applications to sequential synthesis of finite state machines. Specific topologies interconnecting the components, exact and heuristic techniques, and optimization scenarios are studied. Finally the scope is enlarged to domains like testing, supervisory control, game theory and synthesis for special omega languages. The authors present original results of the authors along with an overview of existing ones.

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A First Course in Mathematical Modeling
A First Course in Mathematical Modeling

Offering a solid introduction to the entire modeling process, A FIRST COURSE IN MATHEMATICAL MODELING, 5th Edition delivers an excellent balance of theory and practice, and gives you relevant, hands-on experience developing and sharpening your modeling skills. Throughout, the book emphasizes key facets of modeling, including creative and...

Introductory Bioelectronics: For Engineers and Physical Scientists
Introductory Bioelectronics: For Engineers and Physical Scientists

Bioelectronics is a rich field of research involving the application of electronics engineering principles to biology, medicine, and the health sciences. With its interdisciplinary nature, bioelectronics spans state-of-the-art research at the interface between the life sciences, engineering and physical sciences.

Introductory...

Introduction to Systems Analysis: Mathematically Modeling Natural Systems
Introduction to Systems Analysis: Mathematically Modeling Natural Systems

Systems and their mathematical description play an important role in all branches of science. This book offers an introduction to mathematical modeling techniques. It is intended for undergrad students in applied natural science, in particular earth and environmental science, environmental engineering, as well as ecology, environmental...


Computer Vision Analysis of Image Motion by Variational Methods (Springer Topics in Signal Processing)
Computer Vision Analysis of Image Motion by Variational Methods (Springer Topics in Signal Processing)

This book presents a unified view of image motion analysis under the variational framework. Variational methods, rooted in physics and mechanics, but appearing in many other domains, such as statistics, control, and computer vision, address a problem from an optimization standpoint, i.e., they formulate it as the optimization of an objective...

Handbook of Research on Solar Energy Systems and Technologies
Handbook of Research on Solar Energy Systems and Technologies

The last ten years have seen rapid advances in nanoscience and nanotechnology, allowing unprecedented manipulation of nanoscale structures controlling solar capture, conversion, and storage.

Filled with cutting-edge solar energy research and reference materials, the Handbook of Research on Solar Energy Systems and...

Mastering Structured Data on the Semantic Web: From HTML5 Microdata to Linked Open Data
Mastering Structured Data on the Semantic Web: From HTML5 Microdata to Linked Open Data

A major limitation of conventional web sites is their unorganized and isolated contents, which is created mainly for human consumption. This limitation can be addressed by organizing and publishing data, using powerful formats that add structure and meaning to the content of web pages and link related data to one another. Computers can...

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