This is the first book that renders a thorough discussion of systems science. It draws on material from an extensive collection of external sources, including several other books and a special library collection complete with videotape empirical evidence of applicability of the theory to a wide variety of circumstances. This is essential because systems science must be responsive to diverse human situations of the widest difficulty, and it must fill the void that the specific sciences cannot fill, because these sciences are insensitive to the necessities of reconciling disparate views of multiple observers, and incorporating local conditions in hypotheses that precede inductive explorations.
A collection of selected lectures in applied mathematics, delivered by visiting professors within the Research Doctorate Programme in Applied Mathematics and Informatics at the University of Naples. Each lecture is a self-contained chapter focusing on the latest issues in applied mathematics and informatics. Emphasis is placed on computational aspects but very recent findings are discussed without excessive technical jargon.
Fuzzy controllers are a class of knowledge based controllers using artificial intelligence techniques with origins in fuzzy logic. They can be found either as stand-alone control elements or as integral parts of a wide range of industrial process control systems and consumer products. Applications of fuzzy controllers are an established practice for Japanese manufacturers, and are spreading in Europe and America. The main aim of this book is to show that fuzzy control is not totally ad hoc, that there exist formal techniques for the analysis of a fuzzy controller, and that fuzzy control can be implemented even when no expert knowledge is available. The book is mainly oriented to control engineers and theorists, although parts can be read without any knowledge of control theory and may interest AI people. This 2nd, revised edition incorporates suggestions from numerous reviewers and updates and reorganizes some of the material.
How quickly the technological 'flavour of the month' changes. At the beginning of the 1980's many saw 'robotics' as being something of a pana cea for those problems in the manufacturing industries which had been exacerbated by the world recession. Those working at the time in the field of robotics stressed that robots themselves were only part of the solution. Yet in many quarters the 'hype' for the new technology apparently knew few bounds, resulting, inexorably, in many industries painfully discover ing for themselves a new realism, closely followed by disillusionment. In its wider sense the term 'robotics' covers an extremely broad spec trum of technologies ranging from extremely flexible, highly sensory and integrated systems capable of handling a very diverse product range, through to comparatively inflexible, high volume systems which can merely handle slightly different variations of the same basic product. As a result of the one 'buzzword' referring to such a variety of actual system types, the disillusionment which started to become apparent during the early 1980's acted as something of a double edged sword. A given com pany might consider a particular robotics-based technological solution to its production problems, find that it was unsuitable, and so renounce all robotics approaches as inappropriate. Yet just because one position on that spectrum of technological solutions was unsuitable for the company should not have led them to assume that there was no other robotics solu tion that was appropriate.
As robots are used more and more to perform a variety of tasks in a range of fields, it is imperative to make the robots as reliable and safe as possible. Yet no book currently covers robot reliability and safety within one framework. Robot System Reliability and Safety: A Modern Approach presents up-to-date information on robot reliability, safety
