Architectural Issues for Expert Systems in Real-Time Control

Voss, H.

doi:10.1016/s1474-6670(17)53690-3

Cited by 8 publications

(1 citation statement)

References 11 publications

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“…A sequence is recursive generated by comparing the desired goal and the current state with conditions of the operators. Voss (1988) considers architectural concepts which are strongly influenced by the German joint industrial/academic venture TEX-I (Technical expert system for interpretation, diagnosis and control of technical systems). To mediate between expert system and process control components, he proposes a Process Interface (PI), whose main function is that of data abstraction.…”

Section: Real-time Controlmentioning

confidence: 99%

AI in control Systems engineering

Linkens

1990

The Knowledge Engineering Review

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Decision-making is an integral part of any consideration of the discipline of control Systems. This implies feedback of knowledge in some format, whether it is mediated via human or machineoriented methods. The application of AI methodologies to control Systems engineering is described in this review under two broad categories of design and implementation. The design of control strategies is itself divided into phases of modelling and simulation, identification, and algorithm selection and tuning. The aspects of implementation which are covered include real-time considerations such as knowledge-based control and fuzzy logic, multi-sensor data fusion, fault detection and Human–Computer Interaction (HCI).

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Section: Real-time Controlmentioning

confidence: 99%