Brown Lindsey S, Klerman Elizabeth B, Doyle Francis J
Harvard John A. Paulson School of Engineering and Applied Sciences (SEAS), Allston, MA 02134, USA.
Division of Sleep Medicine, Harvard Medical School (HMS), Boston, MA 02115, USA and Division of Sleep and Circadian Disorders, Department of Medicine, Brigham and Women's Hospital, Boston, MA 02115, USA.
IEEE Control Syst Lett. 2022;6:1616-1621. doi: 10.1109/LCSYS.2021.3129475. Epub 2021 Nov 22.
The circadian system is critical to timing biological functions in anticipation of daily environmental light changes, but much previous work on the development of molecular control inputs to shift the phase of the circadian system has applied model predictive control (MPC) without considering expected environmental light changes. We augment the MPC algorithm to develop an anticipatory control algorithm, which has advantages over MPC in achieving scheduled phase shifts (as occurs with jet lag and shiftwork). We further extend the algorithm in a model switching control scheme to account for changes in the light environment. Taken together, these two enhancements to the standard MPC framework allow for better control of the circadian oscillator in more realistic environments by anticipating environmental light changes.
昼夜节律系统对于在预期每日环境光照变化的情况下安排生物功能的时间至关重要,但先前许多关于开发分子控制输入以改变昼夜节律系统相位的工作都应用了模型预测控制(MPC),而没有考虑预期的环境光照变化。我们对MPC算法进行扩充,开发了一种预期控制算法,该算法在实现预定的相位偏移(如时差反应和轮班工作中出现的情况)方面比MPC具有优势。我们进一步在模型切换控制方案中扩展该算法,以考虑光照环境的变化。总之,对标准MPC框架的这两项改进通过预测环境光照变化,能够在更现实的环境中更好地控制昼夜节律振荡器。