This book presents a number of techniques for robustness analysis of uncertain systems. In it, convex relaxations for several robustness problems are derived by exploiting and providing new results on the theory of homogenous polynomial forms.

This up-to-date and accessible text deals with the basics of Computer Integrated Manufacturing (CIM) and the many advances made in the field. It begins with a discussion on automation systems, and gives the historical background of many of the automation technologies. Then it moves on to describe the various techniques of automation such as group technology and flexible manufacturing systems. The text describes several production techniques, for example, just-in-time (JIT), lean manufacturing and agile manufacturing, besides explaining in detail database systems, machine functions, and design considerations of Numerical Control (NC) and Computer Numerical Control (CNC) machines, and how the CIM system can be modelled. The book concludes with a discussion on the industrial application of artificial intelligence with the help of case studies, in addition to giving network application and signalling approaches. Intended primarily as a text for the undergraduate and graduate students of mechanical, production, and industrial engineering and management, the text should also prove useful for the professionals in the field.

The series Advances in Industrial Control aims to report and encourage technology transfer in control engineering. The rapid development of control technology impacts all areas of the control discipline. New theory, new controllers, actuators, sensors, new industrial processes, computer methods, new applications, new philosophies, . . . . , new challenges. Much of this deVelopment work resides in industrial reports, feasibility study papers and the reports of advanced collaborative projects. The series offers an opportunity for researchers to present an extended exposition of such new work in all aspects of industrial control for wider and rapid dissemination. The high performance control systems applications in aerospace and astronautics almost have a tradition of exploiting the most advanced control theoretical developments first. The optimal control and ffitering paradigm associated with the names of Kalman, Bucy, Anderson and Moore found application in the astronautics of the 1960'S and 1970'S. At the beginning of the 1980'S, control theory moved on to robustness, singular values and mu-analysis. This new work was associated with the names of Zames, Doyle, Glover, Balas among others. The Advances in Industrial Control monograph series have published several volumes over the years which have archived the applications experience garnered from applying robust control to the aerospace sector problems. Rick Lind and Marty Brenner add to this set with their volume on robust aeroservoelastic stability. This volume reports the application of the structured singular value to aeroelastic and aeroservoelastic aerospace problems.

This book provides a comprehensive treatment of the development and present state of the theory of sensitivity of dynamic systems. It is intended as a textbook and reference for researchers and scientists in electrical engineering, control and information theory as well as for mathematicians. The extensive and structured bibliography provides an overview of the literature in the field and points out directions for further research.