Bøger af Magdi S. Mahmoud

Jump Time-Delay Systems (JTDS) represent a new class of piece-wise deterministic systems, in which the underlying dynamics is governed by delay-differential equations and it possesses multiple modes of operation depending on the value of an associated Markov random process. This book is about the time-domain modeling, stability, stabilization, control design and filtering for JTDS. It gives readers a thorough understanding of the basic mathematical analysis and fundamentals of JTDS. Additionally, it offers a straightforward treatment of the different topics and provides a broad coverage of the recent methodologies. The prime concern has been on the interplay between delay factors, jumping behavior and parametric uncertainties. The cases of single and interconnected JTDS are considered and numerous examples are worked out. The relationship to previous results on time-delay systems (TDS) and Markovian jump systems (MJS) are revealed.

A discussion of robust control and filtering for time-delay systems. It provides information on approaches to stability, stabilization, control design, and filtering aspects of electronic and computer systems - explicating the developments in time-delay systems and uncertain time-delay systems. There are appendices detailing important facets of matrix theory, standard lemmas and mathematical results, and applications of industry-tested software.

By exploiting the synergies among available data, information fusion can reduce data traffic, filter noisy measurements, and make predictions and inferences about a monitored entity. Networked Filtering and Fusion in Wireless Sensor Networks introduces the subject of multi-sensor fusion as the method of choice for implementing distributed systems.The book examines the state of the art in information fusion. It presents the known methods, algorithms, architectures, and models of information fusion and discusses their applicability in the context of wireless sensor networks (WSNs). Paying particular attention to the wide range of topics that have been covered in recent literature, the text presents the results of a number of typical case studies.Complete with research supported elements and comprehensive references, this teaching-oriented volume uses standard scientific terminology, conventions, and notations throughout. It applies recently developed convex optimization theory and highly efficient algorithms in estimation fusion to open up discussion and provide researchers with an ideal starting point for further research on distributed estimation and fusion for WSNs.The book supplies a cohesive overview of the key results of theory and applications of information-fusion-related problems in networked systems in a unified framework. Providing advanced mathematical treatment of fundamental problems with information fusion, it will help you broaden your understanding of prospective applications and how to address such problems in practice.After reading the book, you will gain the understanding required to model parts of dynamic systems and use those models to develop distributed fusion control algorithms that are based on feedback control theory.

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Based on the many approaches available for working with large-scale systems (LSS), this book supplies a rigorous framework for studying the analysis, stability, and control problems of LSS. Providing an overall assessment of LSS theories, it addresses model order reduction, parametric uncertainties, time delays, and control estimator gain perturbations. It addresses the dominating sources of difficulties due to dimensionality, information structure constraints, uncertainties, and time delays. The text is supported by proofs, efficient computational methods, end-of-chapter problems, and approximately 1,300 equations.

By exploiting the synergies among available data, information fusion can reduce data traffic, filter noisy measurements, and make predictions and inferences about a monitored entity. Networked Filtering and Fusion in Wireless Sensor Networks introduces the subject of multi-sensor fusion as the method of choice for implementing distributed systems.The book examines the state of the art in information fusion. It presents the known methods, algorithms, architectures, and models of information fusion and discusses their applicability in the context of wireless sensor networks (WSNs). Paying particular attention to the wide range of topics that have been covered in recent literature, the text presents the results of a number of typical case studies.Complete with research supported elements and comprehensive references, this teaching-oriented volume uses standard scientific terminology, conventions, and notations throughout. It applies recently developed convex optimization theory and highly efficient algorithms in estimation fusion to open up discussion and provide researchers with an ideal starting point for further research on distributed estimation and fusion for WSNs.The book supplies a cohesive overview of the key results of theory and applications of information-fusion-related problems in networked systems in a unified framework. Providing advanced mathematical treatment of fundamental problems with information fusion, it will help you broaden your understanding of prospective applications and how to address such problems in practice.After reading the book, you will gain the understanding required to model parts of dynamic systems and use those models to develop distributed fusion control algorithms that are based on feedback control theory.

The main objective of this monograph is to develop efficient techniques for tackling the control problems of partially-known dynamical systems. The book concentrates on reduced-order adaptive control schemes and deterministic stabilizing control methodologies.

This book examines and compares several methods for constructing systems models based on real experimental data from typical industrial processes, and incorporating system identification techniques. Offers exercises, problems and examples using MATLAB (R).

This book is a window onto problems in the analysis, stability, and design of networked control systems. Among other things, it considers four key issues: packet dropouts, communication bandwidth constraints, parametric uncertainty, and time delays.

Discusses about robust control and filtering for time-delay systems. This book provides information on approaches to stability, stabilization, control design, and filtering aspects of electronic and computer systems - explicating the developments in time-delay systems and uncertain time-delay systems.

Based on the many approaches available for dealing with large-scale systems (LSS), this book provides a rigorous framework for studying the analysis, stability, and control problems of LSS while addressing the dominating sources of difficulties due to dimensionality, information structure constraints, uncertainties, and time delays.

In recent years, control systems have become more sophisticated in order to meet increased performance and safety requirements for modern technological systems.

This volume provides a rigorous examination of the analysis, stability and control of large-scale systems, and addresses the difficulties that arise because of dimensionality, information structure constraints, parametric uncertainty and time-delays.

This book is about stability analysis and control design methodologies for a new class of systems, switched time-delay systems (STDs). Adopting a systematic and structured approach, the author presents an introductory, yet comprehensive, treatment of STDs.

The book presents an introductory and comprehensive treatment of resilient controller design methods placing great emphasis on the derivation of necessary and sufficient design conditions and on the use of linear matrix inequalities as a convenient computational tool.