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State-space approach to interpolation in MPC

โœ Scribed by J. A. Mendez; B. Kouvaritakis; J. A. Rossiter

Publisher
John Wiley and Sons
Year
2000
Tongue
English
Weight
111 KB
Volume
10
Category
Article
ISSN
1049-8923

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โœฆ Synopsis

Interpolation between unconstrained optimal input trajectories and feasible trajectories forms the basis for a computationally e$cient predictive control algorithm but lacks robustness in that uncertainty can destroy the guarantee of feasibility. To overcome this problem it is possible to introduce into the interpolation process a further input trajectory which is referred as &mean level'. This has been accomplished in an input}output setting and the purpose of the present paper is to show that it is possible to get a considerably simpler algorithm by recasting the problem into state-space form.

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