Abductive model refinement for accelerator control

Stern, Carl R.; Klein, W. J.; Luger, George F.; Kroupa, Mike

doi:10.1063/1.52379

Cited by 2 publications

(3 citation statements)

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“…Historically, a significant number of works are generally devoted to the study of abstractions and their application both in information science and cognitive science. First of all, it is necessary to highlight papers cited by many researchers of software development, programming languages, artificial intelligence algorithms and approaches to decision making [16,23,42,49,52,54]. The papers [1,3,5,15,22,25,29,32,44,45,55] are devoted to abstractions formed and used in the algorithm development and software engineering.…”

Section: Literature Review and Analysismentioning

confidence: 99%

On the cultivation of proper abstraction

Razumowsky

2023

E3S Web Conf.

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This paper discusses the basis, order, and motives for creating correct abstract representations in software engineering. The problem of using poor quality (ill-conceived, undefined, harmful) abstractions significantly affects the life cycle of software, narrows the range of thoughtful solutions, and reduces the reliability of a software product. To improve the quality of abstraction, a number of possible directions for finding and implementing abstract representations have been considered. Relying on a thorough literature analysis as well as on the author's own introspective experience, a strategy for finding the correct abstraction through the coherence of a concrete compact formulation and its abstract expression is proposed. Within the framework of the proposed strategy, two fundamental principles of producing a correct abstraction are found: integrity and purposefulness. The first will allow one to see the whole picture without omitting details. Purposefulness will resolve the alignment of the abstraction with both the means to the end and the end itself. Strategic coherence is provided by individual creativity, self-assessment, motivation, and accountability for the result.

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Section: Literature Review and Analysismentioning

confidence: 99%

On the cultivation of proper abstraction

Razumowsky

2023

E3S Web Conf.

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“…The controllers coordinating beam sections implement plans adopted from human experts. Plans are carried out in a reactive manner using the teleo-reactive (TR) paradigm [Stern et al 1997]. To illustrate this, we now describe in more detail, the task organization and decomposition needed to tune the PII beamline section at ATLAS.…”

Section: Noise Handlingmentioning

confidence: 99%

“…The control system used a total of 18 controllers and solvers to tune a sequence of three transport sections. It used four teleo-reactive controllers [Stern et al 1997], corresponding to the three sections of the beamline and a supervisory controller, to orchestrate the sequence of control actions and to alternate back and forth between control and diagnostic elements in different sections.…”

Section: Comparisons Of Performance In Tuning Tasks At Brookhaven Andmentioning

confidence: 99%

A Framework for a General Purpose Intelligent Control System for Particle Accelerators. Phase II Final Report

Westervelt¹,

Klein²,

Kroupa³

et al. 1999

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Vista Control Systems. Inc. has de~eloped a portable system for intelligent accelerator control. Our design is general in scope and is thus conf&urable 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 cordlgure lower level optimization and control algorithms. An object-oriented physical access layer (PAL). supported by the Vsvstem control database. allows abstraction from the lower level details of hardtvare manipulation. signai processing, and synchronization. A teleo-reactive sequencing mechanism is used to coordinate control actions. This architecture has been implemented in two deployed Wstems. one for automated accelerator tuning at the Brookhaven ATF and one for Argonne ATLAS. Several weeks of field testing at these two facilities have yielded very promising results. We describe the technical details of this architecture as well as our experiences in field testing in this report. Historicu[ overview.The goal of this project was to design and prototype a portable intelligent control system for particle accelerators. The design was required to be general and to involve the assembly of general components, in order to expedite porting of the control system to new facilities. The design was intended to support robust adaptive behavior, in order to address weakly modeled systems, and to replace the role of human operators in performing the tuning and adaptations necessary to realize system objectives in everyday operations.The initial strategy for achieving these goals was to incorporate "intelligent" and "soft computing" technologies, expert systems, fuzzy logic, neural networks, genetic algorithms, etc. The challenge was to incorporate these technologies into a principled and systematic design that combines both conventional and intelligent control methods. The design that emerged from Phase I research and that was developed in Phase 11was hierarchical, distributed, and object-oriented.

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Abductive model refinement for accelerator control

Cited by 2 publications

References 0 publications

On the cultivation of proper abstraction

On the cultivation of proper abstraction

A Framework for a General Purpose Intelligent Control System for Particle Accelerators. Phase II Final Report

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