Abstract
In this paper, we present an approach to synthesize a nonlinear model predictive controller with guaranteed robust stability, where uncertainty and input constraints are explicitly included in the formulation of the optimization problem. Conceptually, this approach can be viewed as a suitable combination of nonlinear MPC and H/sub /spl infin// control.
Keywords
Model predictive controlControl theory (sociology)Robust controlNonlinear systemHorizonStability (learning theory)Computer scienceController (irrigation)Mathematical optimizationControl (management)Robustness (evolution)MathematicsArtificial intelligenceMachine learning
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Publication Info
- Year
- 1997
- Type
- article
- Citations
- 116
- Access
- Closed
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Cite This
H. Chen,
Carsten W. Scherer,
Frank Allgöwer
(1997).
A game theoretic approach to nonlinear robust receding horizon control of constrained systems.
.
https://doi.org/10.1109/acc.1997.612023
Identifiers
- DOI
- 10.1109/acc.1997.612023