For DDE systems with state, control actuator and measurement delays, distributed output feedback controllers are synthesized on the basis of an auxiliary output constructed within a Smith-predictor framework.
Finally, an adaptive control system for main-steam temperature raising is designed based on a nonlinear predictor model in the framework of linear stochastic control theory.
In this paper, a fast and accurate predictor set inference framework which linearly combines some inference methods is proposed.
Using a multivariate analysis in the form of logistic regression of child mortality (child loss) by single predictors in the framework, the study calculated the odds of child mortality with all the predictors in the framework at once (Trussell 1975).
The tables list the results for each of the predictors in our framework for the independent variables (namely, nationality and gender) and the control variables, namely team size and issue and the team tenure defined in our framework, grouped by actionable factor.
In a sequential prediction framework, these techniques represent different parametrised predictor classes.
Since the new tuning condition for disturbance compensation in GPC leads to a high bandwidth in the feedback loop, a two degrees of freedom control scheme within the Filtered Smith Predictor (FSP -based GPC FSP -basedhas been implemented to improve the robustness capabilities of the control law.
By integrating so far identified perceptual, motivational and behavioral predictors, a comprehensive theoretical framework to explain household food waste-prevention was initially developed.
Generalized score tests were used to assess the significance of potential predictors in this regression framework.
A conceptual framework for predictors of a hybrid dependent variable was developed and both bivariate and multivariate statistical techniques employed.
