Bøger af Luigi Fortuna

This book addresses synchronization in networks of coupled systems. The book then moves on to advanced topics in synchronization of complex networks by examining forms of synchronization in which not all the units share the same trajectory, namely chimera states, clustering synchronization, and relay and remote synchronization.

MATLAB (R) funtions implemented on time-series analysis and modeling as described in this book are available for download. Detailed instructions are provided to help the user employ the code correctly.

In this monograph, new structures of neural networks in multidimensional domains are introduced. The manuscript is intended as a research report, but a great effort has been performed to make the subject comprehensible to graduate students in computer engineering, control engineering, computer sciences and related disciplines.

These lecture notes focus on the synthesis of robust con-trollers for feedback systems, in the presence of unstruc-tured perturbations. While the interpolation approach isawkward for multivariable systems, it provides a very natu-ral and simple approach for SISO systems.

The book presents a clear understanding of a new type of computation system, the Cellular Neural Network (CNN), which has been successfully applied to the solution of many heavy computation problems, mainly in the fields of image processing and complex partial differential equations.

The field of cellular neural networks (CNNs) is of growing importance in non linear circuits and systems and it is maturing to the point of becoming a new area of study in general nonlinear theory.

The solutions presented, some of which are implemented on-line in industrial plants, are designed to cope with a wide range of applications from measuring system backup and what-if analysis through real-time prediction for plant control to sensor diagnosis and validation.