Method and device for controlling a process

Details Method and device for controlling a process Method and device for controlling a process

1995-01-17

1997-01-28

Gordon, Paul P.

Boots, shoes, and leggings

364151, G05B 1304

Patent

active

055983294

ABSTRACT:
To guide a process whose output variable (c) depends on a plurality of influential variables (v, a, h, .alpha.) acting on the process, the process is controlled by a controlling variable (p*) in such manner that the output variable (c) assumes the value of a guiding variable (c*). Correcting variable (p*) is calculated from guiding variable (c*) on the basis of a model of the process, with the model being adjusted on the basis of a comparison of the results (c.sub.M) supplied by the model with measured variables (c, v, h, a) of the process to the process event.

REFERENCES:
Proceedings of the 1992 International Symposium on intelligent control 11 Aug. 1992 Glasgow, GB, pp. 122-127; D. Sbarbaro-Hofer et al.: Neural Control of a Steel Rolling Mill.
Fuzzy Sets and Systems, vol. 56, No. 3, Jun. 1993, Amsterdam, NL, pp. 273-280; M. Balazinski et al.: Modelling of Neural Controllers with Application to the Control of a Machining process.
Automatisierungstechnische Praxis-- ATP, vol. 34, No. 11, Nov. 1992, Munchen, DE, pp. 640-645; D. Neumerkel et al.: Anwendungsstand Kunstlicher Neuronaler Netze in der Automatisierungstechnik.
Mechatronics, vol. 3, No. 6, Dec. 1993, Oxford, GB, pp. 705-725; T. H. Lee et al.: Real-Time Parallel Adaptive Neural Network Control for Nonlinear Servomechanisms-- An Approach Using Direct Adaptive Techniques.
Second IEEE International Conference of Fuzzy Systems, 28 Mar. 1993, San Francisco, US, pp. 345-350; H. Bersini et al.: A Simple Direct Adaptive Fuzzy Controller Derived From its Neural Equivalent.

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