Modeling and control of complex systems
Author(s)
Bibliographic Information
Modeling and control of complex systems
（Control engineering series, 26）
CRC Press, c2008
- : hbk
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Includes bibliographical references and index
HTTP:URL=http://www.loc.gov/catdir/toc/ecip0719/2007021687.html Information=Table of contents only
Description and Table of Contents
Description
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.
Table of Contents
CONTROL OF COMPLEX SYSTEMS. Control for Complex Systems Using Neural Networks. Backstepping Controllers for Stabilization of Turbulent Flow PDEs. BIOLOGICAL SYSTEMS. Modeling and Control in Cancer Genomics. Modeling and Control Problems in the Visuomotor Pathway. COMMUNICATION NETWORKS, SENSOR NETWORKS AND AUTOMATION. Congestion Control in Computer networks, Cooperative Control Problems in the Deployment of Sensor Networks. Optimization and Distributed Control for Data Gathering in Wireless Sensor Networks. Applying MAS Theory to Complex Home Automation Systems. AUTONOMOUS VEHICLES AND ROBOTICS. Modeling and Control of Unmanned Aerial Vehicles - Current Status and Future Directions. Modeling and Control of Hypersonic Vehicles. Autonomous Multi-Robot Docking. TRANSPORTATION SYSTEMS AND STRUCTURES. Modeling and Control of Traffic Flow. Modeling and Identification of Complex Structural Systems.
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