CPS: Small: Control Subject to Human Behavioral Disturbances

CPS：Small：受人类行为干扰的控制本研究的目标是开发一种综合方法，用于控制系统设计，用于主要由常规人类行为造成干扰的情况，例如，在未来的人工胰腺系统中，饮食和锻炼是影响血糖浓度的主要干扰。方法是认识到，人类行为扰动(I)一般是随机的，但不能被视为零均值白噪声过程，(Ii)以统计规律发生，但由于人类行为的自然变化，不能被视为周期性的。这类新出现的问题需要(I)推导出用于特定应用的新的扰动的数学表示，以及(Ii)利用扰动过程中的统计规律性的新的随机控制模型和算法的形成。拟议研究的智力优点来自于这样一个事实，即它明确地识别了一类新的扰动--人类行为扰动，寻求开发一种综合的方法来统计地表征和响应未来的扰动，优雅地适应关于未来的不确定性。预期的研究成果将与不同领域相关，包括随机混合控制和人类自动化交互。作为更广泛的含义，拟议的研究将使未来可现场部署的人工胰腺系统的设计成为可能，潜在地改善150万患有1型糖尿病的美国人的生活。在该项目资助的两名研究生的帮助下，首席调查员将监督一个？顶峰？设计课程，让本科生接触到人类行为干扰下的各个方面的控制。

CPS: Small: Control Subject to Human Behavioral DisturbancesThe objective of this research is to develop an integrated methodology for control system design in situations where disturbances primarily result from routine human behavior, as, for example, in future artificial pancreas systems where meals and exercise are the main disturbances affecting blood glucose concentration. The approach is to recognize that human behavioral disturbances (i) are generally random but cannot be treated as zero-mean white noise processes and (ii) occur with statistical regularity but cannot be treated as periodic due to natural variation in human behavior. This emerging class of problems requires (i) the derivation of new mathematical representations of disturbances for specific applications and (ii) the formulation of new stochastic control models and algorithms that exploit statistical regularity in the disturbance process.The intellectual merit of the proposed research stems from the fact that it explicitly recognizes a new class of disturbances, human behavioral disturbances, seeking to develop an integrated approach to statistically characterizing and responding to future perturbations, adapting gracefully to uncertainty about the future. The anticipated research outcomes will be relevant in diverse fields, including stochastic hybrid control and human automation interaction.As a broader implication, the proposed research will enable the design of future field deployable artificial pancreas systems, potentially improving the lives of 1.5 million Americans suffering from Type 1 diabetes. With help from the two graduate students funded by the project, the principle investigator will supervise a ?Capstone? design course, exposing undergraduates to various aspects of control under human behavioral disturbances.