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
Gain-scheduled control
LPV systems
Decentralised control
Lyapunov function