GOALI: Adaptive Control of Sandwich Nonlinear Systems with Applications

GOALI:夹层非线性系统的自适应控制及其应用

基本信息

  • 批准号:
    9619363
  • 负责人:
  • 金额:
    $ 16.32万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    1997
  • 资助国家:
    美国
  • 起止时间:
    1997-09-15 至 2001-08-31
  • 项目状态:
    已结题

项目摘要

ECS-9619363 Tao This proposal describes a university-industry collaborative research project to explore a new area of adaptive control: adaptive control of sandwich nonlinear systems, and to solve some long-standing and wide-range control problems of urgent relevance to theory as well as applications. The proposed research will focus on adaptive control of sandwich systems with linear and nonsmooth nonlinear dynamics and on adaptive control of two-layer systems with smooth and nonsmooth nonlinear dynamics. Typical nonsmooth nonlinear characteristics are dead-zone, backlash, hysteresis, other piecewise-linearities as well as frictions which are the main sources of component imperfections in control systems. The proposed adaptive inverse control approach employs an adaptive inverse to cancel the nonlinearity effects in order to achieve system performance improvements. This approach points to a new direction to design control systems using a new algorithm-based technology, which, after a period of learning or adaptation, can recognize component imperfections and compensate for their harmful effects. With such adaptive controllers, the component specifications could be greatly relaxed, their cost reduced, and their reliability increased. The results of this research will advance the knowledge of adaptive control significantly, provide new tools to effectively handle practical nonlinearities which have haunted the constructors of control systems for many years, and have many applications in defense and civil industries in which high-precision control systems are vital components. A-1
ECS-9619363是一项产学研合作项目,旨在探索自适应控制的一个新领域:夹层非线性系统的自适应控制,并解决一些长期存在的、具有迫切理论和应用意义的广泛控制问题。所提出的研究将集中于具有线性和非光滑非线性动态的夹层系统的自适应控制和具有光滑和非光滑非线性动态的双层系统的自适应控制。典型的非光滑非线性特征是死区、间隙、滞后、其他分段线性化以及摩擦,它们是控制系统中部件缺陷的主要来源。所提出的自适应逆控制方法采用自适应逆来消除非线性影响,以达到改善系统性能的目的。这种方法为使用一种新的基于算法的技术来设计控制系统指明了一个新的方向,这种技术在经过一段时间的学习或适应后,可以识别部件的缺陷并补偿它们的有害影响。有了这种自适应控制器,可以大大放宽元件规格,降低成本,提高可靠性。这一研究成果将极大地提高自适应控制的知识水平,为有效处理困扰控制系统建设者多年的实际非线性问题提供新的工具,并在高精度控制系统至关重要的国防和民用工业中具有广泛的应用前景。A-1

项目成果

期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ monograph.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ sciAawards.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ conferencePapers.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ patent.updateTime }}

Gang Tao其他文献

A discovery of nanoscale sulfide droplets in MORB glasses: 1 Implications for the immiscibility of sulfide melt and silicate 2 melt 3
MORB 玻璃中纳米级硫化物液滴的发现: 1 对硫化物熔体和硅酸盐不混溶的影响 2 熔体 3
  • DOI:
  • 发表时间:
    2023
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Lei Zuo;Peng Zhang;R. Liu;D. Tao;Xiang Liu;Genwen Chen;Gang Tao
  • 通讯作者:
    Gang Tao
Comparison of the Maximum Gas Combustion Pressure of Hydrogen/Oxygen/Nitrogen-between Chemical Equilibrium Calculations and Experimental Data
  • DOI:
    10.1016/j.proeng.2013.08.126
  • 发表时间:
    2013-01-01
  • 期刊:
  • 影响因子:
  • 作者:
    Gang Tao;Daniel A. Crowl
  • 通讯作者:
    Daniel A. Crowl
Adaptive actuator failure compensation for concurrently actuated manipulators
  • DOI:
    10.1016/s1474-6670(17)36523-0
  • 发表时间:
    2003-06-01
  • 期刊:
  • 影响因子:
  • 作者:
    E. Faruk Kececi;Xidong Tang;Gang Tao
  • 通讯作者:
    Gang Tao
Adaptive Controller Design for Faulty UAVs via Quantum Information Technology
基于量子信息技术的故障无人机自适应控制器设计
Direct self-repairing control for a helicopter via quantum multi-model and disturbance observer
基于量子多模型和扰动观测器的直升机直接自修复控制

Gang Tao的其他文献

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

{{ truncateString('Gang Tao', 18)}}的其他基金

Adaptive Fault Accommodation Based Resilient Control Techniques
基于自适应故障适应的弹性控制技术
  • 批准号:
    1509704
  • 财政年份:
    2015
  • 资助金额:
    $ 16.32万
  • 项目类别:
    Standard Grant
Adaptive Failure Compensation for Performance-Critical Control Systems
性能关键控制系统的自适应故障补偿
  • 批准号:
    0601475
  • 财政年份:
    2006
  • 资助金额:
    $ 16.32万
  • 项目类别:
    Standard Grant
Research Initiation Award: Adaptive Inverse Control of Systems With Practical Nonsmooth Nonlinearities
研究启动奖:具有实用非光滑非线性系统的自适应逆控制
  • 批准号:
    9307545
  • 财政年份:
    1993
  • 资助金额:
    $ 16.32万
  • 项目类别:
    Standard Grant

相似海外基金

CAREER: Data-Enabled Neural Multi-Step Predictive Control (DeMuSPc): a Learning-Based Predictive and Adaptive Control Approach for Complex Nonlinear Systems
职业:数据支持的神经多步预测控制(DeMuSPc):一种用于复杂非线性系统的基于学习的预测和自适应控制方法
  • 批准号:
    2338749
  • 财政年份:
    2024
  • 资助金额:
    $ 16.32万
  • 项目类别:
    Standard Grant
EAGER: Advancing Adaptive Vibrational Control
EAGER:推进自适应振动控制
  • 批准号:
    2310300
  • 财政年份:
    2024
  • 资助金额:
    $ 16.32万
  • 项目类别:
    Standard Grant
CAREER: Learning and Leveraging Conventions in the Design of an Adaptive Haptic Shared Control for Steering a Semi-Automated Vehicle
职业:学习和利用设计用于驾驶半自动车辆的自适应触觉共享控制的惯例
  • 批准号:
    2238268
  • 财政年份:
    2023
  • 资助金额:
    $ 16.32万
  • 项目类别:
    Standard Grant
CPS: Small: Learning How to Control: A Meta-Learning Approach for the Adaptive Control of Cyber-Physical Systems
CPS:小:学习如何控制:网络物理系统自适应控制的元学习方法
  • 批准号:
    2228092
  • 财政年份:
    2023
  • 资助金额:
    $ 16.32万
  • 项目类别:
    Standard Grant
Travel: New Statistical Physics of Living Matter: non-equilibrium states under adaptive control
旅行:生命物质的新统计物理学:自适应控制下的非平衡态
  • 批准号:
    2326439
  • 财政年份:
    2023
  • 资助金额:
    $ 16.32万
  • 项目类别:
    Standard Grant
i-PREDICT: Integrated adaPtive pRocEss DesIgn and ConTrol
i-PREDICT:集成自适应过程设计和控制
  • 批准号:
    EP/W035006/1
  • 财政年份:
    2023
  • 资助金额:
    $ 16.32万
  • 项目类别:
    Research Grant
Cooperative multi agent optimal adaptive control of large degree of freedom manipulators for an interdependent collaborative task
用于相互依赖的协作任务的大自由度机械臂的协作多智能体最优自适应控制
  • 批准号:
    2890822
  • 财政年份:
    2023
  • 资助金额:
    $ 16.32万
  • 项目类别:
    Studentship
Self-adaptive and Cooperative Multi-agent Reinforcement Learning-based Network Traffic Control
基于强化学习的自适应协作多智能体网络流量控制
  • 批准号:
    23K19982
  • 财政年份:
    2023
  • 资助金额:
    $ 16.32万
  • 项目类别:
    Grant-in-Aid for Research Activity Start-up
Atomic resolution imaging using quantum sensors enabled by smart adaptive control
使用智能自适应控制启用的量子传感器进行原子分辨率成像
  • 批准号:
    2890685
  • 财政年份:
    2023
  • 资助金额:
    $ 16.32万
  • 项目类别:
    Studentship
Safe Lyapunov-Based Deep Neural Network Adaptive Control of a Rehabilitative Upper Extremity Hybrid Exoskeleton
基于安全李亚普诺夫的深度神经网络自适应控制康复上肢混合外骨骼
  • 批准号:
    2230971
  • 财政年份:
    2023
  • 资助金额:
    $ 16.32万
  • 项目类别:
    Standard Grant
{{ showInfoDetail.title }}

作者:{{ showInfoDetail.author }}

知道了