Adaptive optimization and estimation of complex dynamical systems

全球市场压力、环境约束和能源成本对加拿大经济的许多部门（包括化学和石化工厂）的公司管理产生了重大影响。加拿大公司必须考虑一种综合方法，将科学和技术结合到商业战略中，为充满活力的世界市场提供服务和产品。管理文化的这些突然而剧烈的变化导致了替代战略的发展，这些战略提供了应对经济压力所需的灵活性，同时减少了排放和能源成本。这种综合的决策方法促使控制工程师从全局角度考虑工厂的行为，并考虑工厂运行的全部复杂性。该项目的目标是开发适用于复杂系统的过程控制技术。复杂的过程带来了许多技术挑战。它们不能由通常用于解决标准过程控制问题的工程工具直接处理。在这个研究计划中，我们将开发技术，通过产生保留复杂系统基本特征的更简单的描述来降低大型系统的复杂性。这些简单的描述为设计复杂动态过程的控制和监测系统提供了一个可管理的平台。拟议的研究计划将为综合评估和控制系统提供创新技术，允许实现复杂系统架构的全局目标，同时提供其每个组件的最大性能。该研究计划处理三个特定领域的应用程序，以解决复杂系统的特定功能。第一个应用领域考虑了建筑系统和燃料电池系统中的流体流量估计。第二个应用领域考虑了适合大型系统控制（如化工厂）的控制体系结构的设计。最后一个应用领域是考虑药物输送控制系统的设计。

Global market pressures, environmental constraints and energy costs are having a significant impact on the management of companies in many sectors of the Canadian economy including chemical and petrochemical plants. Canadian companies must consider a holistic approach that combines science and technology into business strategies for producing services and products for a dynamic world market. These sudden and drastic changes in management culture have led to the development of alternative strategies that offer the flexibility required to handle economic pressures while reducing emissions and energy costs. Such an integrated approach to decision-making has pushed control engineers to think globally about plant behavior and to consider the full complexity of plant operation. The objective of this project is to develop process control techniques that are suitable for application in complex systems. Complex processes pose a number of technical challenges. They cannot be handled directly by the engineering tools that are commonly used to solve standard process control problems. In this research program, we will develop techniques to reduce the complexity of large systems by producing simpler descriptions that retain the essential features of complex systems. These simple descriptions provide a manageable platform to design control and monitoring systems for complex dynamic processes. The proposed research program will provide innovative techniques for the synthesis of estimation and control systems that allow the implementation of global objectives of the complex system architecture while providing maximum performance of each of its components. The research program tackles three specific areas of applications that address specific features of complex systems. The first area of application considers fluid flow estimation in building systems and fuel cell systems. The second area of application considers the design of control architectures suitable for large-scale system control such as chemical plants. The last area of application considers the design of drug delivery control systems.