Quantitative Measure for Discrete Event Supervisory Control
| Author | : | |
| Rating | : | 4.57 (631 Votes) |
| Asin | : | 1441918515 |
| Format Type | : | paperback |
| Number of Pages | : | 264 Pages |
| Publish Date | : | 2014-04-14 |
| Language | : | English |
DESCRIPTION:
M.S. Dr. Shashi Phoha, Director of Information Science and Technology Division at the Applied Research Laboratory and Professor of Electrical and Computer Engineering, Pennsylvania State University. On the Board of Directors of Autonomous Undersea Vehicle Technology Consortium for International Cooperation B
electric power generation, aircraft problems and multi-agent human and robotic systems. … forms a major source for course studies as well as being an excellent reference for readers who wish to learn more about this approach to the study of supervisory decision and control for discrete event systems." (W. … The book would be of interest to research workers and graduate students in engineering robotics, computer science and applied mathematics … a rather original and mind provoking book." (Robotica, Vol. 35 (7-8), 2006). Howard, Kybernetes, Vol. R. 24, 2006)"This is a monograph that is designed to reach a readership of researchers and graduate st
It will introduce a new paradigm of language measure to quantitatively compare the performance of different automata models of a physical system. 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. A novel feature of this approach is to generate discrete-event robust optimal decision and control algorithms for both military and commercial 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. 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