Gain-Scheduled Model Predictive Controller Design
Paper in 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

Author

Adrian Ilka

Chalmers, Signals and Systems, Signal Processing and Biomedical Engineering

Other publications Research

Vojtech Veselý

Slovak University of Technology Bratislava

17th Conference of Doctoral Students, ELITECH’15; Bratislava, Slovakia, May 25, 2015

Subject Categories

Control Engineering

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6/8/2018 7

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