Quantitative measure for discrete event supervisory control
Discrete-time systems
Computer network architectures
Computational complexity
Artificial Intelligence (incl. Robotics)
Artificial intelligence
Computer science
Never before has there been a quantitative approach designed to optimize supervisory decision and control for discrete event systems. The text pioneers a formal system for supervision of human-engineered complex systems, to compare different supervisory models, thereby maximizing potential for achie…
Read online
Reader not loading? Open it on Archive.org instead.