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

This paper develops a novel mechanism for managing the performance and feasibility trade off within 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 using pulse operator 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.