E-Book, Englisch, 544 Seiten
Ioannou / Pitsillides Modeling and Control of Complex Systems
Erscheinungsjahr 2010
ISBN: 978-0-8493-7986-4
Verlag: Taylor & Francis
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)
E-Book, Englisch, 544 Seiten
Reihe: Automation and Control Engineering
ISBN: 978-0-8493-7986-4
Verlag: Taylor & Francis
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)
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.
Zielgruppe
Professionals and students interested in modeling and control of complex systems as it relates to engineering and non-engineering applications in biology, transportation, control, robotics, information technology, networks, communications, sensor networks.
Autoren/Hrsg.
Fachgebiete
Weitere Infos & Material
Introduction
P. Ioannou and A. Pitsillides
Modeling and Control of Complex Systems using Neural Networks
K.S. Narendra, M. Feiler, and Z.-L. Tian
Modeling and Identification of Complex Structural Systems
S.Masri and A. Chassiakos
Model-free adaptive dynamic programming algorithms for H-infinity control of complex linear systems
A. Al-Tamimi, M. Abu-Khalaf, and F.L. Lewis
Optimization and Distributed Control for Data Gathering in Wireless Sensor Networks
A. Sridhara and B. Krishnamachari
Optimization Problems in the Deployment of Sensor Networks
C. G. Cassandras and W. Li
Congestion Control in Computer Networks
M.s Lestas, A. Pitsillides, and P. Ioannou
Persistent Autonomous Formations and Cohesive Motion Control
B. Fidan, B. D.O. Anderson, C.Yu, and J. M. Hendrickx
Modeling and Control of Unmanned Aerial Vehicles - Current Status and Future Directions
G. Vachtsevanos, P. Antsaklis, and K. Valavanis
Autonomous Multi-Robot Docking Systems
A. Drenner and N. Papanikolopoulos
Modeling and Control in Cancer Genomics
A. Datta, A. Choudhary, M. L. Bittner, and E. R. Dougherty
Modeling and control problems in the visuomotor pathway
B. K. Ghosh, W. Wang, and Z. V. Freudenburg
Modeling and Control of Transportation Systems
P. Ioannou, Y.Wang, and H. Chang
Backstepping Controllers for Stabilization of Turbulent Flow PDEs
M. Krstic, J. Cochran, and R. Vazquez
Applying MAS theory to Complex Home Automation Systems
G. Conte and D. Scaradozzi
Multi-Robot Social Group-Based Search Algorithms
B. Fox, W.T. Ong, H.P. Lee, and A.Y. Zomaya