Sentence examples for model parameter estimator from inspiring English sources

It consists of an online steady-state optimizer, a model predictive controller (MPC), and a model parameter estimator.

Then, the resulting steady-state model was utilized to develop the model parameter estimator and the process optimizer both of which adopt a successive quadratic programming algorithm to efficiently locate the optimum solutions.

In this study, we propose a comprehensive control system for the RTP unit by combining a linear quadratic Gaussian (LQG) controller, a constrained iterative learning controller (ILC), and a model parameter estimator.

To cope with the model error from the true system, a small number of tunable parameters were introduced so that they can be corrected online by model parameter estimator during the process operation.

A process optimization system, which consists of a steady-state process model, a model parameter estimator and a process optimizer for a fluidized catalytic cracking (FCC) process under full and partial combustion modes, is presented in this paper.

To overcome model discrepancy from an actual system (patterned wafer), a small number of tunable parameters that can modify the major characteristics of the process model are incorporated into the identified state-space model (bare wafer) and are updated by a model parameter estimator.

In this paper, a general approach based on "locally penalized" D-optimality (LPD-optimality) is proposed, which simultaneously minimizes the variances of the model parameter estimators.

The covariance matrix of the model parameter estimators normally, under ordinary least squares regression assumptions, is derived as σ 2(X′X)− 1 where σ 2 is the residual variance, given the regression model.

where ( boldsymbol{c}boldsymbol{o}boldsymbol{v}left({widehat{tau}}_{boldsymbol{x}}right) ) is the covariance matrix of the estimators of the auxiliary variable totals and ( boldsymbol{c}boldsymbol{o}boldsymbol{v}left widehat{boldsymbol{beta}}right) ) is the covariance matrix of the model parameter estimators.

Using model-based estimation positional errors affect the model parameter estimates and thus the estimators.

The parameter estimator can estimate up to 52 model parameters in order to validate the process model by reducing process model mismatch.