Analysis and Control of Complex Dynamical Systems [electronic resource] Robust Bifurcation, Dynamic Attractors, and Network Complexity / edited by Kazuyuki Aihara, Jun-ichi Imura, Tetsushi Ueta.

This book is the first to report on theoretical breakthroughs on control of complex dynamical systems developed by collaborative researchers in the two fields of dynamical systems theory and control theory. As well, its basic point of view is of three kinds of complexity: bifurcation phenomena subje...

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Bibliographic Details
Uniform Title:Mathematics for Industry, 2198-3518 ; 7
Corporate Author: SpringerLink (Online service)
Other Authors: Aihara, Kazuyuki (Editor)
Imura, Jun-ichi (Editor)
Ueta, Tetsushi (Editor)
Language:English
Published: Tokyo : Springer Japan : Imprint: Springer, 2015.
Edition:1st ed. 2015.
Series:Mathematics for Industry, 7
Subjects:
Online Access:
Variant Title:
Analysis and Control of Complex Dynamical Systems : Robust Bifurcation, Dynamic Attractors, and Network Complexity
Format: Electronic eBook
Contents:
  • Part I Robust Bifurcation and Control
  • Dynamic Robust Bifurcation Analysis
  • Robust Bifurcation Analysis Based on Degree of Stability
  • Use of a Matrix Inequality Technique for Avoiding Undesirable Bifurcation
  • A Method for Constructing a Robust System Against Unexpected Parameter Variation
  • Parametric Control to Avoid Bifurcation Based on Maximum Local Lyapunov Exponent
  • Threshold Control for Stabilization of Unstable Periodic Orbits in Chaotic Hybrid Systems
  • Part II Dynamic Attractor and Control
  • Chaotic Behavior of Orthogonally Projective Triangle Folding Map
  • Stabilization Control of Quasi-Periodic Orbits
  • Feedback Control Method Based on Predicted Future States for Controlling Chaos
  • Ultra-Discretization of Nonlinear Control System with Spatial Symmetry
  • Feedback Control of Spatial Patterns in Reaction-Diffusion System
  • Control of Unstabilizable Switched Systems
  • Part III Complex Networks and Modeling for Control
  • Clustered Model Reduction of Large-Scale Bidirectional Networks
  • Network Structure Identification from a Small Number of Inputs/Outputs.