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

这项教师早期职业发展（Career）计划将为实时系统信息学、监测和控制创建基于传感器的非线性动力学方法。当一个系统中的多个实体合作、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。有效的监测和控制非线性动力学将提高系统的质量和完整性，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，这对于在先进制造业中获得竞争优势至关重要。然而，在将非线性动力学研究与质量工程相结合的知识库中存在着一个关键的空白。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建模和复杂系统控制的科学基础。与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。通过开发课程模块、举办博物馆展览、举办外联讲习班以及积极招募和吸引代表性不足的学生，也将产生广泛的影响。复杂系统的非线性动力学对质量工程提出了重大挑战。复杂系统的实时感知产生了大数据。要充分发挥大数据在质量控制方面的潜力，需要从根本上采用新的方法来驾驭和利用复杂性。包括制造业和医疗保健在内的许多行业已经认识到，迫切需要利用非线性动力学来创建具有特殊功能的新产品（或服务），如适应、定制、响应能力和前所未有的质量。该研究项目的成功将通过提供新的“非线性动力学”概念、方法和算法，推进复杂系统建模和控制的科学基础。此外，该研究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。研究方法也普遍适用于各种复杂的非线性动力学系统，如心脏、大脑、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.