CAREER: Sensor-based Modeling and Control of Nonlinear Dynamics in Complex Systems for Quality Improvements in Manufacturing and Healthcare

这项学院早期职业发展(Career)计划拨款将创建一种基于传感器的非线性动力学方法，用于实时系统信息学、监测和控制。当一个系统的各种实体合作、竞争或干扰时，就会产生非线性动力学。为了应对系统的复杂性和动态环境，现代工业正在投资各种先进的传感系统。对非线性动力学的有效监测和控制将提高系统质量和完整性，从而产生重大的经济和社会影响。例如，在制造业中推进传感、测量和过程控制将提高整体质量和生产率，这是在先进制造业中获得竞争优势的关键。然而，在将非线性动力学研究与质量工程相结合的知识基础上，存在着一个严重的缺口。该奖项支持新方法开发和课程创新的基础研究，以垂直推进基于传感器的复杂系统建模和控制的科学基础。与这项研究相结合的是一项雄心勃勃的教育计划，旨在培养下一代工程师，将非线性思维引入先进的传感、系统信息学和控制领域。还将通过开发课程模块、创建博物馆展览、发展外展讲习班以及积极招募和吸收代表性不足的学生来产生广泛的影响。复杂系统中的非线性动态对质量工程构成重大挑战。对复杂系统的实时感知催生了大数据。实现大数据在质量控制方面的全部潜力需要从根本上采用新的方法来利用和利用复杂性。包括制造业和医疗保健在内的许多行业都认识到，迫切需要利用和利用非线性动态来创造具有特殊功能的新产品(或服务)，例如以前所未有的规模提供适应、定制、响应和质量。该研究项目的成功将为复杂系统的建模和控制提供新的“非线性动力学”概念、方法和算法，为复杂系统的建模和控制奠定科学基础。此外，本研究还将丰富非线性动力学理论，并将其研究领域扩展到制造业和医疗保健领域的跨学科应用。这些研究方法也普遍适用于各种表现出非线性动力学的复杂系统，如心脏、脑、精密加工、生物制造和纳米制造。

This Faculty Early Career Development (CAREER) Program grant will create a sensor-based nonlinear dynamics methodology for real-time system informatics, monitoring, and control. Nonlinear dynamics arise whenever multifarious entities of a system cooperate, compete, or interfere. In order to cope with system complexity and dynamic environments, modern industries are investing in a variety of advanced sensing systems. Effective monitoring and control of nonlinear dynamics will increase system quality and integrity, thereby leading to significant economic and societal impacts. For example, advancing sensing, measurement and process control in manufacturing industries will improve the overall quality and productivity, which is essential to achieving competitive advantage in advanced manufacturing. However, there is a critical gap in the knowledge base that pertains to integrating nonlinear dynamics research with quality engineering. This award supports fundamental research for new methodological development and curriculum innovation to vertically advance the scientific base of sensor-based modeling and control of complex systems. Integrated with the research is an ambitious education plan aiming at training the next generation of engineers to bring nonlinear thinking into advanced sensing, system informatics and control. Broad impacts will also be generated through developing curriculum modules, creating a museum exhibit, developing outreach workshops, as well as actively recruiting and involving under-represented students.Nonlinear dynamics in complex systems pose significant challenges for quality engineering. Real-time sensing of complex systems gives rise to big data. Realizing the full potential of big data for quality control requires fundamentally new methodologies to harness and exploit complexity. Many industries, including manufacturing and healthcare, have identified the urgent need to harness and exploit nonlinear dynamics for creating new products (or services) with exceptional features such as adaptation, customization, responsiveness, and quality in unprecedented scales. The success of this research project will advance the scientific base of modeling and control of complex systems by contributing new "nonlinear dynamics" concepts, methods and algorithms. In addition, this research will enrich the theory of nonlinear dynamics and expand its research domain to interdisciplinary applications in both manufacturing and healthcare. The research methodologies are also generally applicable to a wide variety of complex systems exhibiting nonlinear dynamics such as heart, brain, precision machining, biomanufacturing, and nanomanufacturing.