NSF Young Investigator

这个NSF青年研究者奖研究项目的总体主题是利用数学工具进行非线性分析和计算工具优化合成先进的化学过程控制控制器。多伊尔博士的主要研究兴趣分为四类：(1)非线性过程控制、优化和识别-他计划研究离线和在线技术的有效融合以及用于控制器设计的非线性植物模型的识别（从数据中）。首先，非线性控制综合、性能分析和非线性优化的理论问题将被解决，随后的工作旨在处理未测量的干扰和未建模的动力学。(2)非线性动力系统的计算建模-基于大阶非线性模型的控制算法往往相当精确，但代价是必须求解复杂的非线性程序以获得最优控制动作。PI计划为工业过程操作开发精确的低阶非线性过程模型，这些模型将根据物理数据进行验证。一个例子是他使用波传播模型来开发填充床反应器和精馏塔的控制算法。(3)废物管理和检测-两个关注的领域是废水处理和控制燃烧过程中有害的大气排放。这些问题的关键因素是缺乏初级测量和极端非线性行为。PI计划使用非线性推理控制来解决这些问题。(4)生物调节-体内平衡是维持生物体稳定状态的协调行动，类似于复杂化工厂使用的控制机制。PI计划研究生理调节的潜在范例，用于开发改进的医学治疗，以协助身体的自然调节和防御机制。

The overall theme of this NSF Young Investigator Award research program is the utilization of mathematical tools for nonlinear analysis and computational tools for optimization in the synthesis of advanced controllers for chemical process control. Dr. Doyle's principal research interests are in four categories: (1) Nonlinear Process Control, Optimization, and Identification -He plans to look at an efficient fusion of off-line and on-line techniques and identification (from data) of nonlinear plant models to be used for controller design. Initially theoretical issues of nonlinear control synthesis, performance analysis, and nonlinear optimization will be addressed, followed by work aimed at dealing with unmeasured disturbances and unmodeled dynamics. (2) Computational Modeling of Nonlinear Dynamical Systems - Control algorithms based on large order nonlinear models tend to be quite accurate at the expense of the complex nonlinear program which has to be solved for the optimal control action. The PI plans to develop accurate, low order nonlinear process models for industrial process operations which are to be validated against physical data. An example is the use of wave propagation models he has used to develop control algorithms for packed bed reactors and distillation columns. (3) Waste Management and Detection - Two areas of concern are waste water treatment and the control of harmful atmospheric emissions from combustion processes. The key elements of these problems are the lack of primary measurements and extremely nonlinear behavior. The PI plans to address these problems using nonlinear inferential control. (4) Biological Regulation - Homeostasis is the coordinated actions which maintain the steady states in a living body and is similar to the control mechanisms used for a complex chemical factory. The PI plans to study the underlying paradigm of physiological regulation for use in developing improved medical treatments to assist the natural regulatory and defense mechanisms of the body.