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Good performance of a controller in Model Predictive Control (MPC) system keeps the whole industrial process running well. Because of the complexity of the process, data-driven performance assessment approach, instead of model approach, becomes a popular topic. However, performance assessment is inaccurate when operating condition changes, because the performance benchmark should be different. This...
In this paper, an improved LQG benchmark for the economic performance assessment of model predictive control system is presented. The LQG benchmark is obtained by a regression of a series of discrete points calculated through solving LQG problem. The discrete points obtained by traditional method present an unbalanced distribution, thus leading to an unsatisfied regression curve especially at the...
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...
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