ARI: Acquisition of Multidisciplinary Instrumentation for Intelligent Control

小行星9601968 购买研究仪器的资金用于发展智能控制系统的多学科研究设施。 密苏里大学罗拉分校（UMR）已将智能控制确定为其制造业和民用基础设施研究和培训的重点领域的一部分。 UMR的一个多学科研究小组正在积极开展这一领域的研究，并已相当成功地获得了联邦机构的支持。 这种仪器将大大扩大智能控制系统领域的研究和培训能力。仪器包包括（i）实时控制系统和硬件在环仿真系统，（ii）用于神经网络硬件实现的自适应处理器系统（CNAPS）的连接网络，（iii）实时神经网络和模糊逻辑控制开发系统，（iv）多通道动态信号分析仪，（v）用于基于视觉的智能控制的视觉和图像处理系统，及（vi）一组先进的工作站。 该仪器包支持智能控制领域实时实施的多学科研究和培训工作。 来自电气工程、土木工程、化学工程、机械和航空航天工程系的高年级本科生、研究生和教职员工将从拟议的设备中受益。 这些设备将与现有的实验室连接，并加强UMR的研究基础设施。 拟议的仪器将支持的主要研究领域/研究培训是：（i）智能控制的基础研究;（ii）智能结构的智能控制;（iii）结构控制;（iv）制造中的智能控制;（v）航空航天器中的智能控制应用;（vi）动力系统和驱动器的智能控制;（vii）智能过程控制;（viii）综合研究及课程发展计划;（ix）为高年级本科生/研究生课程提供实验室支援，包括控制用神经网络、模糊逻辑控制、智能结构控制及灵活电力系统控制。 *** ??

9601968 Rao Funds for acquisition of research instrumentation are provided for the development of multidisciplinary research facilities in intelligent control systems. The University of Missouri-Rolla (UMR) has identified intelligent control as part of its emphasis areas in manufacturing and civil infrastructure for research and training. A multidisciplinary research team at UMR is actively pursuing research in this area and has been quite successful in obtaining the support of federal agencies. This instrumentation will significantly expand the research and training capabilities in the area of intelligent control systems. The instrumentation package consists of (i) real-time control systems and hardware-in-the-loop simulation systems, (ii) connected network of adaptive processor systems (CNAPS) for hardware implementation of neural networks, (iii) real-time neural network and fuzzy logic control development system, (iv) multi-channel dynamic signal analyzer, (v) vision and image processing system for vision-based intelligent control, and (vi) a cluster of advanced workstations. This instrumentation package supports the multidisciplinary research and training efforts in real-time implementation of intelligent control area. The senior undergraduate and graduate students and faculty members from the departments of electrical engineering, civil engineering, chemical engineering, and mechanical and aerospace engineering will benefit from the proposed equipment. This equipment will interface with existing laboratories and enhances the research infrastructure of UMR. The primary research areas/research training to be supported by the proposed instrumentation are: (i) basic research in intelligent control; (ii) intelligent control of smart structures; (iii) structural control; (iv) intelligent control in manufacturing; (v) intelligent control applications in aerospace vehicles; (vi) intelligent control of power systems and drives; (vii) intelligent pro cess control; (viii) combined research- curriculum development projects; (ix) laboratory support for senior undergraduate/graduate level courses in neural networks for control, fuzzy logic control, control of smart structures, and flexible power system control. *** ??