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Based on the many approaches available for dealing with large-scale systems (LSS), Decentralized Control and Filtering in Interconnected Dynamical Systems 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.
Taking readers on a guided tour through LSS, the book examines recent trends and approaches and reviews past methods and results from a contemporary perspective. It traces the progress of research along three eras:
Fundamental era in which the basic conceptual frameworks, major ideas, and operational methodologies are laid down
Contemporary era in which several of the workable methods and techniques are established and applied to many application areas
Advanced era in which different high-level schemes and configurations are being developed to meet accelerated technological advancements
Focusing on robust, reliable, and/or resilient decentralized design methods based on linear matrix inequalities framework, the author offers suggestions for improvements to current approaches. He addresses the dominating sources of difficulties due to dimensionality, information structure constraints, uncertainties, and time delays. Drawing attention to key issues, the text is supported by proofs, efficient computational methods, end-of-chapter problems, and approximately 1,300 equations.
List of contents
Introduction. Multilevel Systems Control. Multiple-Time Scale Systems. Large-Scale Composite Systems. Overlapping Decompositions. Decentralized Reliable Control Methods. Decentralized Advanced Control Methods. Decentralized Filtering Methods I. Decentralized Filtering Methods II. Decentralized Control for Time-Delay Systems. Switched Decentralized Filtering. Appendix. Index.
About the author
Magdi S. Sadek Mahmoud earned his Ph.D. degree in systems engineering from Cairo University in 1974. He has been a professor of systems engineering since 1984. He is now on the faculty of KFUPM, Saudi Arabia. He worked at different universities worldwide in Egypt, Kuwait, UAE, UK, USA, Singapore, Saudi Arabia, and Australia. He has given invited lectures in Venezuela, Germany, China, UK, and USA. He has been actively engaged in teaching and research in the development of modern methodologies of computer control, systems engineering, and information technology. He is the principal author of 11 books and 9 book chapters and the author/co-author of more than 450 peer-reviewed papers. He is the recipient of two national, one regional, and a university prize for outstanding research in engineering. He is a fellow of the IEE, a senior member of the IEEE and the CEI (UK), and a registered consultant engineer of information engineering and systems (Egypt).
Summary
Based on the many approaches available for dealing with large-scale systems (LSS), Decentralized Control and Filtering in Interconnected Dynamical Systems 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.
Taking readers on a guided tour through LSS, the book examines recent trends and approaches and reviews past methods and results from a contemporary perspective. It traces the progress of research along three eras:
- Fundamental era in which the basic conceptual frameworks, major ideas, and operational methodologies are laid down
- Contemporary era in which several of the workable methods and techniques are established and applied to many application areas
- Advanced era in which different high-level schemes and configurations are being developed to meet accelerated technological advancements
Focusing on robust, reliable, and/or resilient decentralized design methods based on linear matrix inequalities framework, the author offers suggestions for improvements to current approaches. He addresses the dominating sources of difficulties due to dimensionality, information structure constraints, uncertainties, and time delays. Drawing attention to key issues, the text is supported by proofs, efficient computational methods, end-of-chapter problems, and approximately 1,300 equations.
