Intelligence for Nonlinear Dynamics and Synchronisation

Over the past years, the appropriateness of Computational Intelligence (CI) techniques in modeling and optimization tasks pertaining to complex nonlinear dynamic systems has become indubitable, as attested by a large number of studies reporting on the successful application of CI models in nonlinear science (for example, adaptive control, signal processing, medical diagnostic, pattern formation, living systems, etc.). This volume summarizes the state-of-the-art of CI in the context of nonlinear dynamic systems and synchronization. Aiming at fostering new breakthroughs, the chapters in the book focus on theoretical, experimental and computational aspects of recent advances in nonlinear science intertwined with computational intelligence techniques. In addition, all the chapters have a tutorial-oriented structure. Front Matter....Pages i-xiv Front Matter....Pages 1-1 Adaptive Computational Intelligence for Dynamical Systems....Pages 3-20 Mealy Finite State Machines: A Quantum Inspired Evolutionary Approach....Pages 21-56 Parallel Implementations for Computing the False Nearest Neighbors Method....Pages 57-93 Front Matter....Pages 95-95 Modeling Gene Expression Dynamics by Kernel Auto-RegressiveModels for Time-Course Microarray Data....Pages 97-123 Investigating the Usability of SIFT Features in Biometrics....Pages 125-161 Super Resolution Challenges and Rewards....Pages 163-206 Front Matter....Pages 207-207 Financial Markets Analysis: Can Nonlinear Science Contribute?....Pages 209-243 Nonlinear Structural Dynamics and Seismic Control Synchronization....Pages 245-270 Clustering In VANETs....Pages 271-301 Back Matter....Pages 303-306