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Off-line approach to dynamic output feedback robust model predictive control

✍ Scribed by Ping, Xubin; Ding, Baocang


Book ID
121820750
Publisher
Elsevier Science
Year
2013
Tongue
English
Weight
768 KB
Volume
62
Category
Article
ISSN
0167-6911

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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 contro

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✍ 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