Model Predictive Control of Uncertain Constrained Linear System Based on Mixed ℋ2ℋ∞ Control Approach

Abstract EN

Uncertain constrained discrete-time linear system is addressed using linear matrix inequality based optimization techniques.

The constraints on the inputs and states are specified as quadratic constraints but are formulated to capture hyperplane constraints as well.

The control action is of state feedback and satisfies the constraints.

Uncertainty in the system is represented by unknown bounded disturbances and system perturbations in a linear fractional transform (LFT) representation.

Mixed ℋ2/ℋ∞ method is applied in a model predictive control strategy.

The control law takes account of disturbances and uncertainty naturally.

The validity of this approach is illustrated with two examples.