文档介绍：2
work
Systems Techniques
in the Intelligent
Control of Chemical
Manufacturing Plants
Introduction
Sung Hoon Jung work Construction for Event-Based
Hansung University Intelligent Control
Brief Review of Event-Based Intelligent Control
Tag Gon Kim Paradigm • work Construction Method
Korea Advanced Institute of Science Simulation Environment
and Technology Continuously Stirred Tank Reactor (CSTR) • work
Kyu Ho Park Learning Strategy
Korea Advanced Institute of Science Simulation Results
and Technology Conclusions
Introduction
works have been widely used in many control areas [1, 2, 3, 4, 5]. However, as controlled
systems have been more and plex, no one control paradigm is enough to control especially
where the controlled systems plex hybrid posed of discrete event systems and continuous
systems. In order to control such hybrid systems, intelligent control methodologies must be embedded
into an integrated intelligent control system [6, 7, 8, 9, 10, 11]. This integration provides an intelligent
system with some capabilities such as self-learning, self-planning, and self-decision making [7, 9, 10].
The structure of the integrated system must be well defined and constructed for getting synergy effect
from all modules. Thus, the basic framework for constructing an integrated system is very important.
Recently, Zeigler [12, 13] introduced an event-based intelligent control paradigm based on the simula-
tion theory for discrete event systems [14, 15]. This control paradigm is devised using a simulation
formalism called DEVS (discrete event system specification). The DEVS provides mathematically-sound
semantics to specify operations of discrete event systems in a hierarchical, modular manner [14, 15].
Therefore, this control paradigm can be a good framework especially where the controlled processes are
plex, such as chemical plants. With this framework, high-level modules, such as planners and
schedulers, can be