Abstract
We consider the basic rules of synthesis of automatic control systems with a large number of uncontrollable random disturbances including time-delay (for example, objects in thermal and atomic power stations, chemical manufactures, etc.). It is shown that in these situations, the methods of traditional formal theory cannot be successful, and they should be combined with heuristic expert methods, e.g. in formulating hypotheses. The initial check of hypotheses is carried out by computing the optimal parameters of the system applying reasonable methods and modeling. The final determination of the optimum is performed step-by-step through the application of adaptation algorithms using active actions on the system.
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© 2000 Springer-Verlag Berlin Heidelberg
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Rotach, V. (2000). Expert Methods in the Theory of Automatic Control. In: Hampel, R., Wagenknecht, M., Chaker, N. (eds) Fuzzy Control. Advances in Soft Computing, vol 6. Physica, Heidelberg. https://doi.org/10.1007/978-3-7908-1841-3_15
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DOI: https://doi.org/10.1007/978-3-7908-1841-3_15
Publisher Name: Physica, Heidelberg
Print ISBN: 978-3-7908-1327-2
Online ISBN: 978-3-7908-1841-3
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