This e-book focuses on the application of artificial intelligence resources in fields related to Control and Automation Engineering. Techniques such as neural networks, fuzzy logic and expert systems are a key tool for researchers and engineers requiring powerful solutions to a wide range of problems. The e-book should be a useful guide for these engineers and presents practical examples of real cases where these techniques have been successfully applied.

This book is unique when compared with books on non-linear circuits and systems. The book introduces novel concepts of physics, computer and electrical engineering. The synthesis of Multi-scroll chaotic oscillators is performed through three hierarchical levels of abstractions. A good repertoire of multi-scroll chaos generators is presented by dealing with 1D, 2D ad 3D oscillators which require one, two or three piece-wise linear functions, respectively. Each function is designed using operational amplifiers. Since the approach uses behavioral models, other electronic devices including novel integrated circuits can be used to design the chaos generators. This is an important part of the book since it opens new lines of research while holding a tutorial characteristic for educational purposes. The book is recommended for electronic design students and professionals.

Embedded vision systems such as smart cameras have been rapidly developed recently. Vision systems have become smaller and lighter, but their performance has improved. The algorithms in embedded vision systems have their specifications limited by frequency of CPU, memory size, and architecture. The goal of this e-book is to provide a an advanced reference work for engineers, researchers and scholars in the field of robotics, machine vision, and automation and to facilitate the exchange of their ideas, experiences and views on embedded vision system models. The effectiveness for all methods is emphasized in a practical sense for systems presented in this e-book.

Present day mechatronic systems are designed with synergistic integration of mechanics, electronics and computer technology to produce intelligent devices for the purpose of solving real-world problems. Crucial requirements for a mechatronic system are robustness and fault tolerance, i.e. it should have the ability to process incomplete, imprecise or uncertain information. Such systems often have to work in collaborative environments while being subjected to adverse conditions yet adhering to strict safety standards. This e-book explains the fundamentals of designing such systems from the first principles and how to embed intelligence into them. Examples in this volume are not restricted to production lines, but extend to extreme safety based systems such as space and underwater robotics, autonomous transportation systems, aviation systems and medical robots. Moreover, this e-book also presents recent developments in the design of innovative and intelligent mechatronic systems, applied to robotics and transportation systems, thereby providing an authoritative support for researchers and professionals having basic knowledge in mechatronics.