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CDC
2008
IEEE

Exploiting Laguerre functions to improve the feasibility/performance compromise in MPC

12 years 4 months ago
Exploiting Laguerre functions to improve the feasibility/performance compromise in MPC
Abstract— This paper develops a novel mechanism for managing the performance and feasibility trade off withing predictive control. Specifically, it demonstrates that the potential of Laguerre functions needs more investigation by the community as this offers a simple and effective alternative to the more usual parameterisations of degrees of freedom in the predictions. The paper develops a simple and efficient dual-mode algorithm using Laguerre functions and demonstrates, by example, the improvements with respect to a conventional approach, in terms of performance and feasibility benefits.
J. Anthony Rossiter, Liuping Wang
Added 29 May 2010
Updated 29 May 2010
Type Conference
Year 2008
Where CDC
Authors J. Anthony Rossiter, Liuping Wang
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