Non-Linear PI Control Inspired by Biological Control Systems
Abstract
A non-linear modification to PI control is motivated by a model of a signal transduction pathway active in mammalian blood pres(cid:173) sure regulation. This control algorithm, labeled PII (proportional with intermittent integral), is appropriate for plants requiring ex(cid:173) act set-point matching and disturbance attenuation in the presence of infrequent step changes in load disturbances or set-point. The proportional aspect of the controller is independently designed to be a disturbance attenuator and set-point matching is achieved by intermittently invoking an integral controller. The mechanisms observed in the Angiotensin 11/ AT1 signaling pathway are used to control the switching of the integral control. Improved performance over PI control is shown on a model of cyc1opentenol production. A sign change in plant gain at the desirable operating point causes traditional PI control to result in an unstable system. Applica(cid:173) tion of this new approach to this problem results in stable exact set-point matching for achievable set-points.
Cite
Text
Brown et al. "Non-Linear PI Control Inspired by Biological Control Systems." Neural Information Processing Systems, 1998.Markdown
[Brown et al. "Non-Linear PI Control Inspired by Biological Control Systems." Neural Information Processing Systems, 1998.](https://mlanthology.org/neurips/1998/brown1998neurips-nonlinear/)BibTeX
@inproceedings{brown1998neurips-nonlinear,
title = {{Non-Linear PI Control Inspired by Biological Control Systems}},
author = {Brown, Lyndon J. and Gonye, Gregory E. and Schwaber, James S.},
booktitle = {Neural Information Processing Systems},
year = {1998},
pages = {975-981},
url = {https://mlanthology.org/neurips/1998/brown1998neurips-nonlinear/}
}