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Robust variance control for systems with finite-signal-to-noise uncertainty

✍ Scribed by Jianbo Lu; Robert E. Skelton

Book ID
104105808
Publisher
Elsevier Science
Year
2000
Tongue
English
Weight
276 KB
Volume
36
Category
Article
ISSN
0005-1098

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✦ Synopsis

The paper studies the problem of xnding an output feedback controller for a linear system with xnite signal-to-noise uncertainty such that the variance of the closed-loop system is below a specixed level. An algorithm called e*K iteration is proposed to xnd a vector e and an output feedback controller to achieve locally optimal performance for the closed-loop system.

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