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Robust model predictive control design with input constraints
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DOI：10.1016/j.isatra.2009.10.003.png)
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The paper addresses the problem of designing a robust output/state model predictive control for linear polytopic systems with input constraints. The new predictive and control horizon model is derived as a linear polytopic system. Lyapunov function approach guarantees the quadratic stability and guaranteed cost for closed-loop system. The invariant set and an algorithm approach similar to Soft Variable-Structure Control (SVSC), ensures input constraints for the model predictive plant control system. In the proposed control scheme, the required on-line computation load is significantly less than in MPC literature, which opens the possibility to use these control design schemes not only for plants with slow dynamics, but also for faster ones. (C) 2009 ISA. Published by Elsevier Ltd. All rights reserved.
Keyword:
Model predictive control
Robust control
Quadratic stability
Lyapunov function
Polytopic system
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