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Constrained robust model predictive control via parameter-dependent dynamic output feedback

✍ Scribed by B. Ding

Publisher
Elsevier Science
Year
2010
Tongue
English
Weight
462 KB
Volume
46
Category
Article
ISSN
0005-1098

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✦ Synopsis

This paper considers output feedback robust model predictive control for the quasi-linear parameter varying (quasi-LPV) system with bounded disturbance. The so-called quasi-LPV means that the varying parameters of the linear system are known at the current time, but unknown in the future. The control law is parameterized as a parameter-dependent dynamic output feedback, and the closed-loop stability is specified by the notion of quadratic boundedness. An iterative algorithm is proposed for the on-line synthesis of the control law via convex optimization. A numerical example is given to illustrate the effectiveness of the controller.

πŸ“œ SIMILAR VOLUMES

Robust output-feedback model predictive
Robust output-feedback model predictive control for systems with unstructured uncertainty
✍ Christian LΓΈvaas; MarΓ­a M. Seron; Graham C. Goodwin πŸ“‚ Article πŸ“… 2008 πŸ› Elsevier Science 🌐 English βš– 884 KB

In this paper, we present novel results that parameterize a broad class of robust output-feedback model predictive control (MPC) policies for discrete-time systems with constraints and unstructured model uncertainty. The MPC policies we consider employ: (i) a linear state estimator, (ii) a pre-deter