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Synchronization In Real-time Systems

RRP $271.99

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Real-time computing systems are vital to a wide range of applications. For example, they are used in the control of nuclear reactors and automated manufacturing facilities, in controlling and tracking air traffic, and in communication systems. In recent years, real-time systems have also grown larger and become more critical. For instance, advanced aircraft such as the space shuttle must depend heavily on computer sys- tems [Carlow 84]. The centralized control of manufacturing facilities and assembly plants operated by robots are other examples at the heart of which lie embedded real-time systems. Military defense systems deployed in the air, on the ocean surface, land and underwater, have also been increasingly relying upon real-time systems for monitoring and operational safety purposes, and for retaliatory and containment measures. In telecommunications and in multi-media applications, real- time characteristics are essential to maintain the integrity of transmitted data, audio and video signals. Many of these systems control, monitor or perform critical operations, and must respond quickly to emergency events in a wide range of embedded applications. They are therefore required to process tasks with stringent timing requirements and must perform these tasks in a way that these timing requirements are guaranteed to be met. Real-time scheduling al- gorithms attempt to ensure that system timing behavior meets its specifications, but typically assume that tasks do not share logical or physical resources. Since resource-sharing cannot be eliminated, synchronization primitives must be used to ensure that resource consis- tency constraints are not violated.


Robust Filtering For Uncertain Systems

RRP $299.99

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This monograph provides the reader with a systematic treatment of robust filter design, a key issue in systems, control and signal processing, because of the fact that the inevitable presence of uncertainty in system and signal models often degrades the filtering performance and may even cause instability. The methods described are therefore not subject to the rigorous assumptions of traditional Kalman filtering. The monograph is concerned with robust filtering for various dynamical systems with parametric uncertainties and focuses on parameter-dependent approaches to filter design. Classical filtering schemes, like H2 filtering and HÂ¥ filtering, are addressed and emerging issues such as robust filtering with constraints on communication channels and signal frequency characteristics are discussed. The text features:

· design approaches to robust filters arranged according to varying complexity level and emphasizing robust filtering in the parameter-dependent framework for the first time;

· guidance on the use of special realistic phenomena or factors to describe problems more accurately and to improve filtering performance;

· a unified linear matrix inequality formulation of design approaches for easy and effective filter design;

· demonstration of the techniques of matrix decoupling technique, the generalized Kalman?Yakubovich?Popov lemma, the free weighting matrix technique and the delay modelling approach, in robust filtering;

· numerous easy-to-follow simulation examples, graphical and tabular illustrations to help the reader understand the filter design approaches developed; and

· an account of emerging issues on robust filtering for research to inspire future investigation.

Robust Filtering for Uncertain Systems will be of interest to academic researchers specializing in linear, robust and optimal control and estimation and to practitioners working in tracking and network control or signal filtering, detection and estimation. Graduate students learning control and systems theory, signal processing or applied mathematics will also find the book to be a valuable resource.


Robust Filtering For Uncertain Systems

RRP $299.99

Click on the Google Preview image above to read some pages of this book!

This monograph provides the reader with a systematic treatment of robust filter design, a key issue in systems, control and signal processing, because of the fact that the inevitable presence of uncertainty in system and signal models often degrades the filtering performance and may even cause instability. The methods described are therefore not subject to the rigorous assumptions of traditional Kalman filtering. The monograph is concerned with robust filtering for various dynamical systems with parametric uncertainties and focuses on parameter-dependent approaches to filter design. Classical filtering schemes, like H2 filtering and HÂ¥ filtering, are addressed and emerging issues such as robust filtering with constraints on communication channels and signal frequency characteristics are discussed. The text features:

· design approaches to robust filters arranged according to varying complexity level and emphasizing robust filtering in the parameter-dependent framework for the first time;

· guidance on the use of special realistic phenomena or factors to describe problems more accurately and to improve filtering performance;

· a unified linear matrix inequality formulation of design approaches for easy and effective filter design;

· demonstration of the techniques of matrix decoupling technique, the generalized Kalman?Yakubovich?Popov lemma, the free weighting matrix technique and the delay modelling approach, in robust filtering;

· numerous easy-to-follow simulation examples, graphical and tabular illustrations to help the reader understand the filter design approaches developed; and

· an account of emerging issues on robust filtering for research to inspire future investigation.

Robust Filtering for Uncertain Systems will be of interest to academic researchers specializing in linear, robust and optimal control and estimation and to practitioners working in tracking and network control or signal filtering, detection and estimation. Graduate students learning control and systems theory, signal processing or applied mathematics will also find the book to be a valuable resource.


Workshop On Microbial Source Tracking In Water

RRP $24.99

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The drinking water and wastewater industries are interested in developing a better understanding of sources of fecal contamination. Microbial source tracking (MST) offers the potential to apportion the contribution of various animal groups to this contamination. However, while there are many methods available there is no clear indication as to the most appropriate approach. There has been little systematic comparison of methods and only a few blind trials, and issues of reproducibility, accuracy, sensitivity, specificity, resolution, and robustness need to be addressed. There is confusion among potential end-users and some disagreement among scientists. Therefore, due to the uncertainty surrounding the most appropriate tools and applications of MST, a workshop of 45 experts representing water and wastewater utilities, academia, state and federal government agencies, medical institutions, and private laboratories was convened in San Antonio, Texas over a three-day period (February 16 - 18, 2005). The overall objective of the workshop was to identify the knowledge gaps and research needs for application of MST technologies by the wastewater and drinking water industries.


Relational Database Systems

RRP $250.99

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Relational Database Systems provides a timely introduction to the type of systems that are the current mainstay of the database management field. This book serves as a text for advanced undergraduate and graduate students, as well as an informative reference for researchers and professionals in all database aspects of computer science. It presents important querying systems including SQL and QUEL, and covers their respective theoretical foundations in relational algebra, tuple calculus, and domain calculus.
The presentation of SQL adheres to the ANSI standard; however, the book discusses the most popular SQL dialects; a separate chapter covers imbedded SQL. The text also contains references to many significant relational database products, including INGRES, ORACLE, DB2, PARADOX, and SYBASE.
Relational Database Systems concentrates on those issues that are most relevant to database design and application development. Exercises that constitute important extensions of the material are provided at the end of each chapter. The book assumes a knowledge of programming languages and datastructures, and some mathematical induction.
Key Features
* Includes coverage of embedded SQL, the most important existing application development tool
* Presents query systems within their theoretical context
* Discusses supporting mathematical theory
* Offers a comparison of SQL dialects
* Provides supplemental exercises for each chapter
* Contains references to significant relational database products, including INGRES, ORACLE, DB2, PARADOX, and SYBASE



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