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Fractional order calculus is finding increasing interest in the control system community. Hardware realizations of fractional order controllers have sparked off a renewed zeal into the investigations of control system design in the light of fractional calculus. As such many notions of integer order LTI systems are being modified and extended to incorporate these new concepts. Computational Intelligence (CI) techniques have been applied to engineering problems to find solutions to many hitherto intractable conundrums and is a useful tool for dealing with problems of higher computational complexity. This book borders on the interface between CI techniques and fractional calculus, and looks at ways in which fractional order control systems may be designed or enhanced using CI based paradigms. To the best of the author’s knowledge this is the first book of its kind exclusively dedicated to the application of computational intelligence techniques in fractional order systems and control. The book tries to assimilate various existing concepts in this nascent field of fractional order intelligent control and is aimed at researchers and post graduate students working in this field.  .

Intelligent control systems --- Fractional calculus --- Engineering & Applied Sciences --- Mechanical Engineering --- Computer Science --- Mechanical Engineering - General --- Intelligent control systems. --- Automatic control. --- Control engineering --- Control equipment --- Intelligent control --- Intelligent controllers --- Engineering. --- Computational intelligence. --- Control engineering. --- Computational Intelligence. --- Control. --- Control theory --- Engineering instruments --- Automation --- Programmable controllers --- Intelligence, Computational --- Artificial intelligence --- Soft computing --- Construction --- Industrial arts --- Technology --- Automatic control --- Control and Systems Theory.

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Industrial communications are a multidimensional, occasionally confusing, mixture of fieldbuses, software packages, and media. The intent of this book is to make it all accessible.

Profibus (Computer bus) --- Process control. --- Intelligent control systems. --- Intelligent control --- Intelligent controllers --- Automatic control --- Control of industrial processes --- Industrial process control --- Manufacturing processes --- Quality control --- Process field bus (Computer bus) --- Microcomputers --- Buses --- Profibus --- Profibus DP --- Profibus PA --- Profile standard --- Fieldbus --- Process Fieldbus --- networks --- industrial automation --- block diagram --- cyclic communication --- acyclic communication --- IEC 61158-2 --- RS-485 --- redundancy --- intrinsically safe --- plant asset management --- network troubleshooting --- Introduction to Profibus --- Status byte --- Manchester encoded

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Proceedings of the 2013 Chinese Intelligent Automation Conference presents selected research papers from the CIAC’13, held in Yangzhou, China. The topics include e.g. adaptive control, fuzzy control, neural network based control, knowledge based control, hybrid intelligent control, learning control, evolutionary mechanism based control, multi-sensor integration, failure diagnosis, and reconfigurable control. Engineers and researchers from academia, industry, and government can gain an inside view of new solutions combining ideas from multiple disciplines in the field of intelligent automation.   Zengqi Sun and Zhidong Deng are professors at the Department of Computer Science, Tsinghua University, China.

Computational linguistics -- Congresses. --- Manufacturing processes -- Automation -- Congresses. --- Text processing (Computer science) -- Congresses. --- Mechanical Engineering --- Engineering & Applied Sciences --- Mechanical Engineering - General --- Automation. --- Intelligent control systems. --- Intelligent control --- Intelligent controllers --- Automatic factories --- Automatic production --- Computer control --- Engineering cybernetics --- Factories --- Automation --- Engineering. --- Control. --- Robotics and Automation. --- Computational Intelligence. --- Construction --- Industrial arts --- Technology --- Automatic control --- Industrial engineering --- Mechanization --- Assembly-line methods --- Automatic machinery --- CAD/CAM systems --- Robotics --- Control and Systems Theory. --- Control engineering. --- Robotics. --- Computational intelligence. --- Intelligence, Computational --- Artificial intelligence --- Soft computing --- Machine theory --- Control engineering --- Control equipment --- Control theory --- Engineering instruments --- Programmable controllers --- Intelligent control systems

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              The book provides a sample of research on the innovative theory and applications of soft computing paradigms.             The idea of Soft Computing was initiated in 1981 when Professor Zadeh published his first paper on soft data analysis and constantly evolved ever since. Professor Zadeh defined Soft Computing as the fusion of the fields of fuzzy logic (FL), neural network theory (NN) and probabilistic reasoning (PR), with the latter subsuming belief networks, evolutionary computing including DNA computing, chaos theory and parts of learning theory into one multidisciplinary system. As Zadeh said the essence of soft computing is that unlike the traditional, hard computing, soft computing is aimed at an accommodation with the pervasive imprecision of the real world. Thus, the guiding principle of soft computing is to exploit the tolerance for imprecision, uncertainty and partial truth to achieve tractability, robustness, low solution cost and better rapport with reality. In the final analysis, the role model for soft computing is the human mind.             We hope that the reader will share our excitement and find our volume both useful and inspiring.

Soft computing --- Intelligent control systems --- Computational intelligence --- Engineering & Applied Sciences --- Computer Science --- Mathematical models --- Soft computing. --- Computational intelligence. --- Mathematical models. --- Intelligence, Computational --- Intelligent control --- Intelligent controllers --- Engineering. --- Artificial intelligence. --- Computational Intelligence. --- Artificial Intelligence (incl. Robotics). --- Artificial intelligence --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Construction --- Industrial arts --- Technology --- Automatic control --- Cognitive computing --- Artificial Intelligence.

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Current robots and other artificial systems are typically able to accomplish only one single task. Overcoming this limitation requires the development of control architectures and learning algorithms that can support the acquisition and deployment of several different skills, which in turn seems to require a modular and hierarchical organization. In this way, different modules can acquire different skills without catastrophic interference, and higher-level components of the system can solve complex tasks by exploiting the skills encapsulated in the lower-level modules. While machine learning and robotics recognize the fundamental importance of the hierarchical organization of behavior for building robots that scale up to solve complex tasks, research in psychology and neuroscience shows increasing evidence that modularity and hierarchy are pivotal organization principles of behavior and of the brain. They might even lead to the cumulative acquisition of an ever-increasing number of skills, which seems to be a characteristic of mammals, and humans in particular. This book is a comprehensive overview of the state of the art on the modeling of the hierarchical organization of behavior in animals, and on its exploitation in robot controllers. The book perspective is highly interdisciplinary, featuring models belonging to all relevant areas, including machine learning, robotics, neural networks, and computational modeling in psychology and neuroscience. The book chapters review the authors' most recent contributions to the investigation of hierarchical behavior, and highlight the open questions and most promising research directions. As the contributing authors are among the pioneers carrying out fundamental work on this topic, the book covers the most important and topical issues in the field from a computationally informed, theoretically oriented perspective. The book will be of benefit to academic and industrial researchers and graduate students in related disciplines.

Artificial intelligence. --- Computer science. --- Engineering. --- Neurosciences. --- Psychic research. --- Mechanical Engineering --- Engineering & Applied Sciences --- Computer Science --- Mechanical Engineering - General --- Intelligent control systems. --- Computational neuroscience. --- Robotics. --- Computational neurosciences --- Intelligent control --- Intelligent controllers --- Computational intelligence. --- Control engineering. --- Mechatronics. --- Experiential research. --- Computer Science. --- Artificial Intelligence (incl. Robotics). --- Control, Robotics, Mechatronics. --- Computational Intelligence. --- Psychology Research. --- Automation --- Machine theory --- Research --- Mechanical engineering --- Microelectronics --- Microelectromechanical systems --- Control engineering --- Control equipment --- Control theory --- Engineering instruments --- Programmable controllers --- Intelligence, Computational --- Artificial intelligence --- Soft computing --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Neural sciences --- Neurological sciences --- Neuroscience --- Medical sciences --- Nervous system --- Informatics --- Science --- Computational biology --- Neurosciences --- Automatic control --- Artificial Intelligence. --- Construction --- Industrial arts --- Technology --- Computational learning theory.