Knowledge representation in expert systems for process control

Böhme, B.; Wieland, Ralf

doi:10.1016/0167-9236(90)90026-n

Cited by 3 publications

(1 citation statement)

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“…As a result of such advancement, a substantial change in process automation has occurred in recent years and has led to the CCC 0890-6327/94/040379-14 0 1994 by John Wiley 8z Sons, Ltd. development of the so-called 'higher autonomous functions' such as (1) operation guidance (2) process optimization (3) production management (4) emergency/security control ( 5 ) emergency management.…”

Section: Introductionmentioning

confidence: 99%

The application of artificial intelligence techniques for intelligent control of dynamical physical systems

Kumar

Mani

1994

Adaptive Control & Signal

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There is an increasing concern among the scientific community and industrialists over the safe and reliable operation of control systems in industries. Although several adaptive control techniques have been introduced, they are not robust enough for many real-world problem domains where the degree of uncertainty is high and therefore classical methods of mathematical modelling and control fail. Computer technology has reached a point where machine intelligence can be incorporated in many of the systems that we use daily. Changes in environments, unmeasurable disturbances, changing reference models and performance criteria and component failures are some of the characteristics which necessitate intelligent control. The developments in the field of artificial intelligence have reached a stage which will help to reduce these control complexities by incorporating intelligence into the control systems. In this paper we explain various artificial intelligence techniques that can be used to control dynamical physical systems.

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Section: Introductionmentioning

confidence: 99%