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This book provides the mathematical foundations of networks of linear control systems, developed from an algebraic systems theory perspective. This includes a thorough treatment of questions of controllability, observability, realization theory, as well as feedback control and observer theory. The potential of networks for linear systems in controlling large-scale networks of interconnected dynamical systems could provide insight into a diversity of scientific and technological disciplines. The scope of the book is quite extensive, ranging from introductory material to advanced topics of current research, making it a suitable reference for graduate students and researchers in the field of networks of linear systems. Part I can be used as the basis for a first course in Algebraic System Theory, while Part II serves for a second, advanced, course on linear systems.
Finally, Part III, which is largely independent of the previous parts, is ideally suited for advanced research seminars aimed at preparing graduate students for independent research. "Mathematics of Networks of Linear Systems" contains a large number of exercises and examples throughout the text making it suitable for graduate courses in the area.
List of contents
Introduction.-Rings and Modules of Polynomials.- Functional Models and Shift Spaces.- Linear Systems.- Tensor Products, Bezoutians and Stability.-State Feedback and Output Injection.-Observer Theory.- Nonnegative Matrices and Graph Theory.- Interconnected Systems.-Control of Standard Interconnections.- Synchronization and Consensus.- Control of Ensembles.- References.- Index.
About the author
Paul A. Fuhrmann is Professor Emeritus in the Department of Mathematics at Ben-Gurion University of the Negev. His current research interests are in the following directions: Algebraic System Theory, control, observation and model reduction for networks of linear systems.
Uwe Helmke is Professor and Chair in Dynamical Systems and Control Theory at the University of Wuerzburg. His current research interests include Algebraic and Differential-Geometric Methods in Control, Linear Systems Theory, Optimization on Manifolds, Formation Control.
Summary
This book provides the mathematical foundations of networks of linear control systems, developed from an algebraic systems theory perspective. This includes a thorough treatment of questions of controllability, observability, realization theory, as well as feedback control and observer theory. The potential of networks for linear systems in controlling large-scale networks of interconnected dynamical systems could provide insight into a diversity of scientific and technological disciplines. The scope of the book is quite extensive, ranging from introductory material to advanced topics of current research, making it a suitable reference for graduate students and researchers in the field of networks of linear systems. Part I can be used as the basis for a first course in Algebraic System Theory, while Part II serves for a second, advanced, course on linear systems.
Finally, Part III, which is largely independent of the previous parts, is ideally suited for advanced research seminars aimed at preparing graduate students for independent research. “Mathematics of Networks of Linear Systems” contains a large number of exercises and examples throughout the text making it suitable for graduate courses in the area.
Additional text
“In the voluminous book under review the authors illustrate their perspective on modelling and control of networks of linear finite-dimensional systems. … This is an excellent book that can be appreciated both by readers familiar with the polynomial approach, and by readers unaccustomed to functional models. … The historical sections at the end of each chapter are helpful because they explain the broader context and suggest further reading to both types of readers.” (Paolo Rapisarda, Mathematical Reviews, March, 2016)
Report
"In the voluminous book under review the authors illustrate their perspective on modelling and control of networks of linear finite-dimensional systems. ... This is an excellent book that can be appreciated both by readers familiar with the polynomial approach, and by readers unaccustomed to functional models. ... The historical sections at the end of each chapter are helpful because they explain the broader context and suggest further reading to both types of readers." (Paolo Rapisarda, Mathematical Reviews, March, 2016)
