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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...
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...
Robustness of Model Predictive Control (MPC) has been extensively investigated, considering both on-line and off-line strategies. However the implementation of the theoretical background required within such methodologies may appear complicated to the users, in particular in terms of tuning parameters. To overcome this difficulty, this paper proposes a new powerful toolbox which permits off-line robustness...
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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