Improved nonlinear model predictive control with volterra-laguerre models

Title: Improved nonlinear model predictive control with volterra-laguerre models
Creator: Stoddard, Jeremy G.; Welsh, James S.
Relation: The American Control Conference ACC 2019. Proceedings of The American Control Conference ACC 2019 (Philadelphia, PA 10-12 July, 2019) p. 1014-1019
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Resource Type: conference paper
Date: 2019
Description: This paper revisits the problem of nonlinear model predictive control (NMPC) using a second order Volterra-Laguerre model structure. While previous NMPC results used a simplified version of the structure with only one set of Laguerre basis functions, recent advances in regularized Volterra series identification allow direct estimation of a more complex Volterra-Laguerre structure. To accommodate this, we develop a more flexible state space representation of the second order model, and derive the corresponding NMPC optimization problem and its analytic solution. The proposed approach is compared with previous methods on a simulation example to demonstrate the performance benefits.
Subject: nonlinear model predictive control; model structures; volterra-laguerre structure; predictive control
Identifier: http://hdl.handle.net/1959.13/1460424
Identifier: uon:45959
Identifier: ISBN:9781538679265
Language: eng
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