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Both the plant parameter4 and delay time of the system may vary in the time-varying system, which makes system identification relatively complex. In this paper, a new system identification algorithm based on subspace method and cross-correlation function is proposed to identify system parameter and time-delay simultaneously. The time delay is identified with the calculation of the cross-correlation...
In industrial process, some important variables such as quality index, efficiency index and concentration of product components are difficult or even impossible to be measured directly due to the limitation of technology. This phenomenon leads to few labeled data and plenty of unlabeled data. Traditional identification method for controlled auto regressive (CAR) model usually cannot deal with unlabeled...
The changes of flow rate and heating value of blast furnace gas (BFG) make the boiler operation more like art than science. In this paper, statistics analysis methods are utilized to justify the significance of the derived variables for the thermal efficiency modeling. By employing nonnegative garrote (NNG) variable selection and auto-regression integrated moving average (ARIMA) correction, an adaptive...
Repeated bending occurs toward the direction of rail head and rail base during the cooling which can lead to significant bending deformation and residual stress after cooling. The longer the rail is, the more obvious this phenomenon is. In addition to cooling function, a kind of cooling bed with a pre-bending process is used in order to solve this problem on 100m rail. The synchronous movements on...
The thesis aims to illustrate the way how to construct a dualistic and dynamic Student Model in SQLTutor intelligent teaching system. The initial level of the Student Model is to collect the data of the student performance, and paradigmatically record and sort out the performance data of the individual student. The senior level of the Student Model is to apply the ldquofuzzy clusterrdquo method to...
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