CPS: Small: Control Subject to Human Behavioral Disturbances

小型：人类行为干扰的控制本研究的目的是开发一种综合方法，用于在干扰主要由日常人类行为引起的情况下设计控制系统，例如，在未来的人工胰腺系统中，饮食和运动是影响血糖浓度的主要干扰。方法是认识到人类行为干扰(i)通常是随机的，但不能被视为零均值白噪声过程；（ii）由于人类行为的自然变化，具有统计规律性，但不能被视为周期性。这类新出现的问题需要(i)为特定应用推导新的扰动数学表示，（ii）制定新的随机控制模型和算法，利用扰动过程中的统计规律性。拟议研究的智力价值源于这样一个事实，即它明确地认识到一类新的干扰，人类行为干扰，寻求发展一种综合方法来统计表征和响应未来的干扰，优雅地适应未来的不确定性。预期的研究成果将涉及多个领域，包括随机混合控制和人类自动化交互。从更广泛的意义上说，拟议的研究将使未来可部署的人工胰腺系统的设计成为可能，有可能改善150万美国1型糖尿病患者的生活。在该项目资助的两名研究生的帮助下，首席研究员将指导一篇论文。顶石吗?设计课程，让本科生接触到人类行为干扰下控制的各个方面。

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.