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This paper proposes the design of an advanced control technique to improve the control performances of industrial plants. Indeed, classical industrial solutions are typically based on SISO loops including classical PID controllers. This control strategy can clearly be improved. The solution proposed here is not to remove the industrial solution but instead to update it with additional loop(s), which...
In this paper, a robustified control technique is applied to a production-inventory system. A linear model is considered for the demand/inventory system with a variable dead-time and a variable yield. The inventory is firstly controlled with a MPC (model predictive control) law designed for some nominal values of the delay and yield. Using a Youla parameter-based procedure, this initial controller...
This paper proposes an off-line procedure which enables the robustification of an initial stabilizing controller for multivariable systems using the convex optimization of a Youla parameter. This robustification must provide stability robustness towards unstructured uncertainties for the nominal system, while guaranteeing stability properties over a specified polytopic domain of uncertainties. Solving...
The paper deals with robust predictive control based on a LMI approach. With respect to the well established case of linear models, with a global polytopic uncertainty, in the present approach the conservativeness reduction is assured by allowing different local descriptions of the uncertainty. The prediction model can thus be interpreted as a multi-model description of the plant to be controlled...
Through many industrial applications, predictive control has proven its ability to give better performance while keeping its implementation relatively easy. From the basic version, several approaches have been developed to robustify an initial predictive law towards unstructured uncertainties. However, most of them provide high robustness bounds but penalize the disturbance rejection performance,...
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