A Synergistic Approach to Robust Output Feedback Control: Tube-based Multi-stage NMPC

A BMI Optimization Approach to Robust Output-Feedback Control

In this paper a new approach is proposed to design locally optimal robust output-feedback controllers. It is iterative by nature, and starting from any initial feasible controller it performs local optimization over a suitably defined non-convex function at each iteration. The approach features the properties of computational efficiency, guaranteed convergence to a local optimum, and applicabil...

Economic Multi-stage Output Feedback NMPC using the Unscented Kalman Filter

Nonlinear Model predictive control (NMPC) is a popular control strategy for highly nonlinear chemical processes. The ability to handle safety and environmental constraints along with the use of an economic objective makes NMPC highly appealing to industries. The performance of NMPC depends strongly on the accuracy of the model. In reality, there always are plant-model mismatch and state estimat...

Adaptive Multi-stage Output Feedback NMPC using the Extended Kalman Filter for time varying uncertainties applied to a CSTR

Nonlinear Model Predictive control (NMPC) is one of the advanced control strategies for multi-dimensional nonlinear systems with constraints. With uncertainties present in the model, robust NMPC strategies are proposed in order to counteract the effects of the uncertainties and have a safe operation of the plant. Multi-stage NMPC offers a non-conservative alternative as it models the feedback i...

Optimal Output Feedback Control: a Multi-model Approach

In this paper we describe a computational approach to the optimal output feedback control of multi-model systems by means of a unique constant output feedback matrix. Extension of the method to output feedback control of multi-model periodic systems is also presented. The power of the proposed approach is illustrated by the simultaneous stabilization and optimization of a helicopter multi-model.

LMI Robust Control of PWM Converters: An Output-Feedback Approach