Direct data-driven design of sparse controllers

This paper deals with direct data-driven design of model-reference controllers whose number of parameters is constrained. Input-output (I/O) sparse controllers are introduced and proposed as an alternative to low-order controller tuning. The optimal I/O sparse controller is shown to be never worse than the optimal low-order controller with the same number of parameters and a suited design procedure based on convex optimization is derived. The theoretical concepts are illustrated by means of a benchmark simulation example.


Published in:
2013 American Control Conference (Acc), 3099-3104
Presented at:
American Control Conference, Washington, DC, June 17-19, 2013
Year:
2013
Publisher:
New York, IEEE
Laboratories:


Note: The status of this file is: EPFL only


 Record created 2012-03-15, last modified 2018-01-28

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