We present a portable system for intelligent control of particle accelerators.
This system is based on a hierarchical distributed architecture. At the lowest
level, a physical access layer provides an object-oriented abstraction of
the target system. A series of intermediate layers implement general
algorithms for control, optimization, data interpretation, and diagnosis.
Decision making and planning are organized by knowledge-based components
that utilize knowledge acquired from human experts to appropriately direct and
configure lower level services. The general nature of the representations
and algorithms at lower levels gives this architecture a high degree of
potential portability. The knowledge-based decision-making and planning at
higher levels gives this system an adaptive capability as well as making it
readily configurable to new environments. Significant successes of this work
are reported in [1, 2].
To be published in the Proceedings of the Particle Accelerator Conference
1997 by Klein, W., Stern, C., Luger, G., and Olsson, E.
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