Control of Self-Organizing Nonlinear Systems
Control of Self-Organizing Nonlinear Systems
Springer | Complexity | February 23, 2016 | ISBN-10: 3319280279 | 475 pages | pdf | 19.26 mb
Springer | Complexity | February 23, 2016 | ISBN-10: 3319280279 | 475 pages | pdf | 19.26 mb
Editors: Schöll, Eckehard, Klapp, Sabine H. L., Hövel, Philipp (Eds.)
Is written by internationally leading experts in this new emerging field
Gives a cutting-edge review of novel innovative application areas: quantum systems, soft matter systems, complex networks
Explains control in networks and solid state sciences
The book summarizes the state-of-the-art of research on control of self-organizing nonlinear systems with contributions from leading international experts in the field. The first focus concerns recent methodological developments including control of networks and of noisy and time-delayed systems. As a second focus, the book features emerging concepts of application including control of quantum systems, soft condensed matter, and biological systems. Special topics reflecting the active research in the field are the analysis and control of chimera states in classical networks and in quantum systems, the mathematical treatment of multiscale systems, the control of colloidal and quantum transport, the control of epidemics and of neural network dynamics.
Number of Illustrations and Tables
117 illus., 42 in colour
Topics
Statistical Physics, Dynamical Systems and Complexity
Soft and Granular Matter, Complex Fluids and Microfluidics
Biological Networks, Systems Biology
Mathematical Methods in Physics
Complex Systems
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