A Data-compressed Technique of a Reference Governor in a Piecewise Affine Function
نویسندگان
چکیده
This paper demonstrates how to construct a reference governor for which the size of its implemented data can be adjusted with an integer parameter ν , ensuring fulfillment of a pointwise-in-time constraint. Using a technique called “blocking,” a management method is established that changes the external reference every νTs period, where Ts denotes a sampling period of a constrained system. Constraint fulfillment for an infinite time is achieved by satisfying a terminal condition using a maximal output admissible set. The reference governor is finally obtained with an explicit solution to the convex quadratic programming problem. Simulation and experimental evaluations demonstrate its effectiveness at constraint fulfillment and data compression. Copyright c © 2005 IFAC
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