This paper proposes a robust receding horizon control scheme for discrete-time uncertain linear systems with input and state constraints. The control scheme is based on the minimization of the worst-case one-step "nite horizon cost with a "nite terminal weighting matrix. It is shown that the propose
Robust receding horizon predictive control for systems with uncertain dynamics and input saturation
โ Scribed by Young Il Lee; Basil Kouvaritakis
- Publisher
- Elsevier Science
- Year
- 2000
- Tongue
- English
- Weight
- 187 KB
- Volume
- 36
- Category
- Article
- ISSN
- 0005-1098
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โฆ Synopsis
A receding horizon predictive control method which assures stability for systems with model uncertainty and input saturation is derived by extending earlier work in two important respects: (i) ellipsoidal invariant sets are replaced by polyhedral invariant sets; and (ii) the constraint that the state lie in an invariant set is invoked N steps ahead. The new algorithm allows for a considerable enlargement of the stabilizable set and provides extra degrees of freedom with which to improve performance.
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