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The modeling of fluid catalytic cracking unit (FCCU) is important due to the significant role of FCCU in oil refining. On account of the strong nonlinearity of FCCU mechanisms the solved optimized parameters are usually local optimum, which is sensible to the parameter initial value. A parameter estimation framework and algorithm is proposed in this paper for getting a stable optimal solution. According...
A new data-driven approach is proposed for the estimation of the Minimum Variance Control (MVC) benchmark, which eliminates the need of estimating the interactor-matrix or extracting the model/Markov parameter matrices. Using the parity space, the proposed subspace approach gives equivalent estimation of the MVC performance bounds in multivariable feedback control system. The basic procedure is to...
A novel data-driven process monitoring method based on dynamic independent component analysis-principle component analysis (DICA-DPCA) is proposed to compensate for shortcomings in the conventional component analysis based monitoring methods. The primary idea is to first augment the measured data matrix to take the process dynamic into account. Then perform independent component analysis (ICA) and...
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