Titlebook: Qualitative Process Theory Using Linguistic Variables; Bruce D’Ambrosio Book 1989 Springer-Verlag New York Inc. 1989 Extension.algorithms.

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Application of QP Theory to Process Control - An Example,ch reactants in particulate form enter from the left-hand top port and react when heated to the proper temperature within the furnace. The product collects in the bottom of the furnace, and an off-gas is produced as a by-product, which exits out the top right port. We can imagine for the moment that

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Fibrin

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Linguistic Quantity Spaces,tion of the linguistic quantity space is to provide a qualitative extension to the parameter value representation in QP theory. This will enable the incorporation of quantitative value measurements into measurement interpretation, as well as the estimation of the effects of continuous control action

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RAFF

Evaluation and Conclusion,in this thesis has been based on two premises. First, we believe that qualitative process (QP) theory offers potential for reasoning about the control of complex engineered physical systems, especially when they are poorly understood or the capability for making observations of the systems is limite

dandruff

Qualitative Perturbation Analysis,s. The basic idea is to use the influence graph for the state of interest and perform a qualitative form of classical small-signal or perturbation analysis (QPA). The analysis is based on de Kleer’s incremental qualitative (IQ) analysis [dKB84b], as is Forbus’ influence resolution.

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tive furnace state. We have then shown how modification of these patterns, by adding equilibrium values and sensitivity annotations on influence arcs, could permit resolu- tion of the ambiguities. Finally, we have described in detail the extensions needed to the basic influence resolution algorithm

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