Gain-Scheduled Model Predictive Controller Design
Paper i proceeding, 2015
A novel methodology is proposed for discrete model predictive gain-scheduled controller design for nonlinear systems for finite prediction horizons. The proposed design procedure is based on the linear parameter-varying (LPV) paradigm, quadratic stability and on the notion of the parameter-varying guaranteed cost. The obtained design procedure is in the form of BMI and LMI. Numerical examples show the benefit of the proposed approach.
Model predictive control
Quadratic cost function