Automation and Control Engineering #26: Modeling and Control of Complex Systems

Comprehension of complex systems comes from an understanding of not only the behavior of constituent elements but how they act together to form the behavior of the whole. However, given the multidisciplinary nature of complex systems, the scattering of information across different areas creates a chaotic situation for those trying to understand possible solutions and applications.

Modeling and Control of Complex Systems brings together a number of research experts to present some of their latest approaches and future research directions in a language accessible to system theorists. Contributors discuss complex systems such as networks for modeling and control of civil structures, vehicles, robots, biomedical systems, fluid flow systems, and home automation systems. Each chapter provides theoretical and methodological descriptions of a specific application in the control of complex systems, including congestion control in computer networks, autonomous multi-robot docking systems, modeling and control in cancer genomics, and backstepping controllers for stabilization of turbulent flow PDEs.

With this unique reference, you will discover how complexity is dealt with in different disciplines and learn about the latest methodologies, which are applicable to your own specialty. The balanced mix of theory and simulation presented by Modeling and Control of Complex Systems supplies a strong vehicle for enlarging your knowledge base a fueling future advances and incredible breakthroughs.

The purpose of this reference work is to present the newest approaches and future research directions in the area of modeling and control of complex systems. Written for system theorists, the book is a collection of essays by research professionals working in different areas and disciplines. Its 16 chapters explore the areas and disciplines that can be considered complex systems, including neural networks for modeling and control, modeling and control of civil structures, transportation systems, sensor networks, genomics, computer networks, and fluid flow systems. Ioannou (electrical engineering systems, U. of Southern California) and Pitsillides (computer science, U. of Cyprus) note that the book intends to encourage a multidisciplinary approach to complexity by offering knowledge and practices from a variety of fields of research. Annotation ©2008 Book News, Inc., Portland, OR (booknews.com)

There is an emerging interest in the area of modeling and control of complex systems for applications in many engineering and non-engineering fields such as biology, transportation, robotics, information technology, and communications. This text provides a pioneering, single-source compilation of material from internationally renowned experts with different approaches to the applications of modeling and control of complex systems. Sections cover complex systems, biological systems, sensor networks and automation, autonomous vehicles and robotics, and transportation systems and structures. The authors highlight the most important areas of research, the latest advances, and possible future directions.