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Hybrid convolution model and its application in predictive pH control
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DOI：10.1016/S0098-1354(99)80056-8.png)
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摘要
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This paper presents a new method for synthesising chemical process models that combines prior knowledge and fuzzy models. The hybrid convolution model consists of a fuzzy model based steady-state, and an impulse response model based dynamic part. Prior knowledge enters to the dynamic part as a resident time distribution model of the process. The proposed approach is applied in the modelling and model based control of a highly nonlinear pH process.
Keyword:
hybrid models
prior knowledge
fuzzy models
pH control
predictive control
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3.9
论文数:
8.1K
被引数:
1.7W
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