New formulation of robust MPC by incorporating off-line approach with on-line optimization

DOI10.1080/00207720701393328zbMath1126.93022OpenAlexW2064013150WikidataQ57582952 ScholiaQ57582952MaRDI QIDQ5423169

Biao Huang, Bao-Cang Ding

Publication date: 22 October 2007

Published in: International Journal of Systems Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00207720701393328

zbMATH Keywords

region of attractionrobust model predictive controlfree perturbation itemoff-line model predictive controlvertex perturbation item

Mathematics Subject Classification ID

Sensitivity (robustness) (93B35)

Related Items (7)

Feedback min–max model predictive control using robust one-step sets ⋮ Constrained feedback robust model predictive control for polytopic uncertain systems with time delays ⋮ Dynamic output feedback robust model predictive control ⋮ Robust MPC for the constrained system with polytopic uncertainty ⋮ A new min-max methodology for computing optimised obstacle avoidance steering manoeuvres of ground vehicles ⋮ Predictive actuator fault-tolerant control under ellipsoidal bounding ⋮ Robust model predictive control by iterative optimisation for polytopic uncertain systems

Uses Software

• Matlab
• LMI toolbox

Cites Work

• Robust constrained model predictive control using linear matrix inequalities
• An efficient off-line formulation of robust model predictive control using linear matrix inequalities
• A synthesis approach of on-line constrained robust model predictive control.
• Robust constrained predictive control of uncertain norm-bounded linear systems
• Constrained RHC for LPV systems with bounded rates of parameter variations
• Quasi-min-max MPC algorithms for LPV systems
• Constrained model predictive control: Stability and optimality
• Efficient robust constrained model predictive control with a time varying terminal constraint set
• Min-Max feedback MPC using a time-varying terminal constraint set and comments on ``Efficient robust constrained model predictive control with a time-varying terminal constraint set
• Efficient robust predictive control
• Min-max feedback model predictive control for constrained linear systems
• Efficient active set optimization in triple mode MPC
• Optimizing prediction dynamics for robust MPC

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