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Tuning and controlling particle accelerators is time consuming and expensive. Inherently nonlinear, the control problem is one to which conventional methods cannot satisfactorily be applied. Advanced information technologies such as expert systems and neural networks have been applied separately to the problem, with isolated success. Few, if any, of these(More)
Tuning and controlling particle accelerators is time consuming and expensive. Inherently nonlinear, this control problem is one to which conventional methods have not satisfactorily been applied; the result is constant and expensive monitoring by human operators. In recent years, and with isolated successes, advanced information technologies such as expert(More)
Vista Control Systems Inc. is developing a portable system for intelligent accelerator control. Our system is general purpose and has been designed to be reused at multiple accelerator facilities. This portability arises from the hierarchical object-oriented nature of the architecture. The control system employs a multi-level organization in which knowledge(More)
Vista Control Systems, Inc. is developing a portable system for intelligent accelerator control. Our design is general in scope and is thus configurable to a wide range of accelerator facilities and control problems. The control system employs a multi-layer organization in which knowledge-based decision making is used to dynamically configure a lower level(More)
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,(More)
This paper discusses a new architecture for accelerator tuning that combines heuristic and knowledge based methods with traditional approaches to control. Control of particle accelerators requires a hybrid architecture, which includes methodologies for planning, intelligent search, and pattern recognition. Control is distributed and hierarchical to utilize(More)
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