Elsevier

Automatica

Volume 18, Issue 3, May 1982, Pages 349-352
Automatica

Brief paper
On receding horizon feedback control☆

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Abstract

Receding horizon feedback control (RHFC) was originally introduced as an easy method for designing stable state-feedback controllers for linear systems. Here those results are generalized to the control of nonlinear autonomous systems, and we develop a performance index which is minimized by the RHFC (inverse optimal control problem). Previous results for linear systems have shown that desirable nonlinear controllers can be developed by making the RHFC horizon distance a function of the state. That functional dependence was implicit and difficult to implement on-line. Here we develop similar controllers for which the horizon distance is an easily computed explicit function of the state.

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☆

The original version of this paper was presented at the 8th IFAC Triennial World Congress on Control Science and Technology for the Progress of Society, which was held in Kyoto, Japan during August 1981. The published proceedings of this IFAC meeting may be ordered from Pergamon Press Ltd, Headington Hill Hall, Oxford OX3 0BW, U.K. This paper was recommended for publication in revised form by editor B. D. O. Anderson. This work was partially supported by NSF Grant ECS-8017865.

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