Supervisory Control Theory (SCT) provides a tool to model and control human-engineered complex systems, such as computer networks, World Wide Web, identification and spread of malicious executables, and command, control, communication, and information systems. Although there are some excellent monographs and books on SCT to control and diagnose discrete-event systems, there is a need for a research monograph that provides a coherent quantitative treatment of SCT theory for decision and control of complex systems. This new monograph will assimilate many new concepts that have been recently reported or are in the process of being reported in open literature. The major objectives here are to present a) a quantitative approach, supported by a formal theory, for discrete-event decision and control of human-engineered complex systems; and b) a set of applications to emerging technological areas such as control of software systems, malicious executables, and complex engineering systems. The monograph will provide the necessary background materials in automata theory and languages for supervisory control. It will introduce a new paradigm of language measure to quantitatively compare the performance of different automata models of a physical system. A novel feature of this approach is to generate discrete-event robust optimal decision and control algorithms for both military and commercial systems.

Intelligent Seam Tracking for Robotic Welding is part of the Advances in Industrial Control series, edited by Professor M.J. Grimble and Dr. M.A. Johnson of the Industrial Control Unit, University of Strathclyde. This publication discusses in depth the development of a seam tracking system for robotic welding. Various topics are covered including the theory of seam tracking, details of the sub-systems comprising the intelligent seam tracker and the operation of the seam tracking system with coordinated interaction amongst the various sub-systems. The sources of various seam tracking errors and existing seam tracking systems operating in both structured and unstructured welding environments are also addressed. The work reported builds upon the research conducted during the course of the project ARTIST (Adaptive, RealTime, Intelligent Seam Tracker) at the Applied Research Laboratory of the Pennsylvania State University. Although the book is presented in the context of seam tracking, issues related to systems integration are general in nature and relate to other applications as well.

Supervisory Control Theory (SCT) provides a tool to model and control human-engineered complex systems, such as computer networks, World Wide Web, identification and spread of malicious executables, and command, control, communication, and information systems. Although there are some excellent monographs and books on SCT to control and diagnose discrete-event systems, there is a need for a research monograph that provides a coherent quantitative treatment of SCT theory for decision and control of complex systems. This new monograph will assimilate many new concepts that have been recently reported or are in the process of being reported in open literature. The major objectives here are to present a) a quantitative approach, supported by a formal theory, for discrete-event decision and control of human-engineered complex systems; and b) a set of applications to emerging technological areas such as control of software systems, malicious executables, and complex engineering systems. The monograph will provide the necessary background materials in automata theory and languages for supervisory control. It will introduce a new paradigm of language measure to quantitatively compare the performance of different automata models of a physical system. A novel feature of this approach is to generate discrete-event robust optimal decision and control algorithms for both military and commercial systems.

Surface chemistry and physics are active fields of research because of the obvious scientific and technological implications. One of the many motivations for this burgeoning effort has been the desire to understand surface corrosion, metallurgy and catalytic activity in order to address environmental concerns. In particular, such efforts are important for strongly correlated and heavy fermion systems like the actinides. These metals are among the most complex of the long-lived elements, and in the solid state, display some of the most unusual behaviors of any series in the periodic table. The actinides are characterized by the gradual filling of the 5f electron shell with the degree of localization increasing with the atomic number Z along the last series of the eriodic table. It is widely believed that the properties and the behavior of the 5f electrons change dramatically starting from somewhere between Pu and Am. In this work, atomic and molecular hydrogen and oxygen and water adsorptions on the (0001) surface of dhcp americium have been studied at both non-spin-orbit coupling (NSO) and spin-orbit coupling (SO) levels using GGA-DFT.