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Imminized Artificial Neural Systems - Extensions, Analysis, and Applications

Imminized Artificial Neural Systems - Extensions, Analysis, and Applications
最小化人工神经系统 - 扩展、分析和应用
批准号:
9415351
负责人:
K. KrishnaKumar
金额:
$20.35万
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
1994
资助国家:
美国
项目状态:
已结题
起止时间:
1994-09-15 至 1998-08-31

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中文摘要
翻译
免疫学的科学与人工适应系统中所期望的健壮的适应性有许多相似之处。其中一些相似之处在国家科学基金会的研究启动资助下进行了调查,并在两个问题上得到了证明:(a)不确定系统的在线识别和自适应控制;9b)利用人在环仿真综合复杂控制器。目前正在使用无线电控制飞机进行实验验证。该项目将扩展最初的概念,包括(a)分析IANS的能力(完整性、稳健性和适应性)和局限性(计算速度、存储等);(b)高阶构建模块识别;(c)包含免疫系统的几个微观特征;(d)探索其在适应性批评功能中的有用性。作为该项目的一部分,将开发和测试一种完全自主的遥控飞机闭环控制系统。为了实现这一目标,阿拉巴马大学已经在开发一个专门的实验室设施。其他应用将包括航天器控制和操作的不确定性管理。免疫的人工神经系统,在完全开发和测试后,可以用于解决无数的问题。其中包括:复杂过程建模、高性能飞机/导弹控制、自主无人机任务控制、自主侦察飞机/旋翼机操作、复杂设计和制造过程、自主空间探索和机器人规划。在人工自适应系统中所期望的适应性。其中一些相似之处是在国家科学基金会的研究启动资助下进行调查的,并在两个问题上进行了讨论@ b L!!!! 我,我,我,我!9:~ H H (F G) H H (d ' @ = / R B H -:LaserWriter Times + + + J e J S, krish。艾丽西亚·哈里斯
英文摘要
7 # L L $ $ $ $ $ 2 D D D D N X X $ | x D 6 * ` $ 6 * 6 6 ` , 6 6 6 6 6 6 Krishnakumar 9415351 The science of immunology has many parallels to the robust adaptive nature desired in aretificial adaptive systems. Some of these parallels were investigated under an NSF researcch initiation grant and were demonstrated on two problems: (a) on-line identification and adaptive control of an uncertain system; and 9b) synthesis of complex controllers using man-in-the loop simulations. Experimental vertification using radio controlled aircraft is currentyly in progress. This project will extend the initial concept to include (a) analysis if IANS' capabilities (completeness, robustness, and adaptiveness) and limitations ( Computational speed, storage, etc.); (b) higher order building blocks identification; (c) inclusion of several micro-features of the immune system; and (d) explore its usefulness in adaptive critic functions. As part of this project, a 'Completely autonomous remotely piloted aircraft closed-loop control system will be developed and tested. Towards this goal, efforts are already underway with the development of a dedicated laboratory facility at the University of Alabama. Other applications will include uncertainty management for spacecraft control and operations. Immunized artificial neural systems, when fully developed and tested, could be used in a myriad of problems. Some of these are: complex process modeling, high performance aircraft/missile control, autonomous UAV mission control, autonomous scout aircraft/rotorcraft operations, complex design ad manufacturing processes, and autonomous space explorations and robot planning. u st adaptive nature desired in aretificial adaptive systems. Some of these parallels were investigated under an NSF researcch initiation grant and were demons trated on two prob L O @ b L ! ! ! ! L L L O L ! 9 :~ H H ( F G ( H H ( d ' @ = / R B H -:LaserWriter Times + + + J e J S , krish.abs Alicia Harris Alicia Harris
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RIA: Adaptive Neurocontrol Using Concepts from Immunology (REU Supplement)
  • 批准号:
    9113283
  • 项目类别:
    Standard Grant
  • 资助金额:
    $7.31万
  • 财政年份:
    1991
  • 负责人:
    K. KrishnaKumar
  • 依托单位:
海外基金