Abstract
In real industrial processes,the operating regime of complex system is always changed into uncertain or unknown regimes,so multi-model system identified off-line is difficult to adaptively describe nonlinearity of real-life process.A new online multi-model identification algorithm based on subtrac- tive clustering is proposed in order to overcome this difficulty. Firstly,the number and operating parameters of local models in multi-model system is updated on-line by subtractive clustering algorithm,then after fully studying the effect on identification of the parameters of local models if the clustering result is changed, the corresponding online identification algorithm is presented to identify the parameters of local models.The presented online identification algorithm is demonstrated with an MIMO simu- lated 300 MW boiler-turbine coordinately controlled process.
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