Artificial Intelligence in Process Engineering - download pdf or read online

By Michael L. Mavrovouniotis

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B . Modelling of reactors for plasma processing. I. Silicon etching by C F in a radial flow reactor. Chemical Engineering Science, 41 (4), p. 6 5 3 ( 1 9 8 6 ) . Dvorak, D . L . , and Kuipers, B . J. Model-based Monitoring of Dynamic Systems. In Pro­ ceedings of the 11th International Joint Conference on Artificial Intelligence (IJCAI-89), Morgan Kaufman, Los A l t o s , C A (1989). , and Brown, J. S. A Qualitative Physics Based on Confluences. Al Journal, 24, p. 7 (1984). , and Georgakis, C. Batch Reactor Optimization by U s e of Tendency Models.

More complicated models natu­ rally lead to more possible behaviors. Additional reasoning techniques may be required to reduce or eliminate a potential increase in the num­ ber of spurious behaviors. Furthermore, analyzing large behavior trees Qualitative Modeling of Chemical Reaction Systems 31 resulting from the simulation of a complex model may be a difficult task. Since qualitative simulation distinguishes different qualitative behaviors by distinctions such as behavior patterns (trajectories) and occurrence branching, the process of identifying distinctions and classifying similar behaviors from large behavior trees will also need to be automated.

In Pro­ ceedings of the 11th International Joint Conference on Artificial Intelligence (IJCAI-89), Morgan Kaufman, Los A l t o s , C A (1989). , and Brown, J. S. A Qualitative Physics Based on Confluences. Al Journal, 24, p. 7 (1984). , and Georgakis, C. Batch Reactor Optimization by U s e of Tendency Models. Computers and Chemical Engineer­ ing, 13 ( 1 / 2 ) , pp. 3 5 - 4 8 (1986). Filippi-Bosey, C , Greife, J. , Barnay, J. L . , and Georgakis, C. Tendency Modeling of Semibatch Reactors for Optimization and Control.

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