Nonlinear Dynamical Systems Theory for Real-Time DistributedScheduling of Heterarchical Manufacturing Systems

9612003达菲，这项研究涉及异构型制造系统，其中控制权高度分布在松散耦合的自治实体中，这些实体保留了最少的全局信息量。本研究的目的是建立一种非线性动态系统理论，用于建模和分析零件驱动的异构型制造系统中的实时分布式控制。要解决的主要问题是：(1)用于一般多机配置的创新的连续反馈控制拓扑，(2)描述一般多机配置行为的动态模型，以及(3)对系统动力学的严格分析，包括状态轨迹、稳定性、稳态值、收敛特性和鲁棒性。具有挑战性的研究问题包括：当给定的加工步骤有多台机器时，以及当零件必须访问多个这样的加工步骤时，建模非线性和分析系统动力学。实时调度性能和对干扰的稳健性将在实验室进行评估。这项研究是新颖的，与行业需求高度相关。有许多不小的问题需要克服，使这种风险相对较高，但如果成功，将代表着重大进展。

9612003 Duffie This research involves heterarchical manufacturing systems in which control is highly distributed among loosely-coupled autonomous entities that retain a minimal amount of global information. The goal of this research is to establish a nonlinear dynamical systems theory for modeling and analysis of real-time distributed control in part-driven heterarchical manufacturing systems with batch sizes as low as unity and Just-In-Time production. Major issues to be addressed are (1) innovative continuous feedback control topologies for general multiple machine configurations, (2) dynamical models that characterize the behavior of general multiple machine configurations, and (3) rigorous analysis of system dynamics including state trajectories, stability, steady-state values, convergence properties, and robustness. Challenging research issues include modeling nonlinearities and analyzing system dynamics when there is more than one machine for a given processing step and when parts have to visit more than one such processing step. Real-time scheduling performance and robustness to disturbances will be evaluated in the laboratory. This research is novel and highly relevant to industry needs. There are many non-trivial issues to surmount making this relatively high risk, but if successful, will represent major advances.