Event Triggered Unknown Networked Control System Design by using Adaptive Dynamic Programming

采用自适应动态规划的事件触发未知网络控制系统设计

基本信息

项目摘要

This project will develop new universal control designs for Network Control Systems (NCS) such as the new distributed control systems needed for the smart grid and modern automotive systems. Unlike many traditional NCS systems, these will be designed from the start so as to maximize performance over time, fully accounting for communication delays in networks and unexpected events, as well as nonlinearities, continuous random disturbances and other issues which this PI has addressed in the past. He intends to develop rigorous mathematical proofs that these new designs will always lead to stable operation. He will also maintain a pipeline to immediate practical applications, through his existing Industry-University Center on Intelligent Maintenance. The designs are intended to be general, learning-based and massively parallel, in a way which may also help us understand how mammal brains can perform tasks beyond the scope of more traditional types of design.These designs will be an extension of work previously funded by NSF, described in the Handbook of RLADP, edited by Lewis and Liu. ADP, like linear programming, is a class of challenges, not just one specific method, though there are relations between the successful methods. ADP includes all the methods aimed at the general problem of multistage optimization in the face of nonlinearity and stochastic disturbance. In order to cope with general nonlinear tasks, this project will include neural networks which have been proved to be more effective as approximators of general nonlinear functions than more traditional systems. The chief novelty here is the ability to combine these capabilities with the presence of communication delays and random discrete events, which are an important practical issue in most NCS.
该项目将为网络控制系统(NCS)开发新的通用控制设计,例如智能电网和现代汽车系统所需的新型分布式控制系统。与许多传统的NCS系统不同,这些系统将从一开始就进行设计,以便随着时间的推移最大限度地提高性能,充分考虑网络中的通信延迟和意外事件,以及非线性,连续随机干扰和本PI过去已经解决的其他问题。他打算开发严格的数学证明,这些新的设计将始终导致稳定的操作。他还将通过他现有的工业大学智能维护中心,维护一个直接实际应用的管道。这些设计是通用的、基于学习的和大规模并行的,在某种程度上也可以帮助我们理解哺乳动物的大脑如何执行超出更传统类型设计范围的任务。这些设计将是以前由NSF资助的工作的延伸,在刘易斯和刘编辑的RLADP手册中有所描述。ADP,像线性规划一样,是一类挑战,而不仅仅是一种特定的方法,尽管成功的方法之间存在联系。ADP包括所有针对非线性和随机干扰下的多级优化一般问题的方法。为了科普一般的非线性任务,这个项目将包括神经网络,已被证明是更有效的一般非线性函数的逼近器比更传统的系统。 这里的主要新奇之处在于能够将这些能力与通信延迟和随机离散事件的存在相结合,这在大多数NCS中是一个重要的实际问题。

项目成果

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Jagannathan Sarangapani其他文献

Asymptotic Tracking Controller Design for Nonlinear Systems With Guaranteed Performance
具有保证性能的非线性系统渐近跟踪控制器设计
  • DOI:
    10.1109/tcyb.2017.2726039
  • 发表时间:
    2018
  • 期刊:
  • 影响因子:
    11.8
  • 作者:
    Fan Bo;Yang Qinmin;Jagannathan Sarangapani;Sun Youxian
  • 通讯作者:
    Sun Youxian
Output-Constrained Control of Nonaffine Multiagent Systems With Partially Unknown Control Directions
部分未知控制方向的非仿射多智能体系统的输出受限控制
  • DOI:
    10.1109/tac.2019.2892391
  • 发表时间:
    2019
  • 期刊:
  • 影响因子:
    6.8
  • 作者:
    Fan Bo;Yang Qinmin;Jagannathan Sarangapani;Sun Youxian
  • 通讯作者:
    Sun Youxian

Jagannathan Sarangapani的其他文献

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{{ truncateString('Jagannathan Sarangapani', 18)}}的其他基金

I/UCRC: Collaborative Research on Coupled Models for Prognostics and Health Management
I/UCRC:预测与健康管理耦合模型的合作研究
  • 批准号:
    1230886
  • 财政年份:
    2012
  • 资助金额:
    $ 36万
  • 项目类别:
    Standard Grant
Adaptive Dynamic Programming-based Control of Unknown Networked Control Systems
基于自适应动态规划的未知网络控制系统控制
  • 批准号:
    1128281
  • 财政年份:
    2011
  • 资助金额:
    $ 36万
  • 项目类别:
    Standard Grant
I/UCRC CGI: Industry/University Cooperative Research Center for Intelligent Maintenance Systems Center: Five Year Renewal Phase III
I/UCRC CGI:智能维护系统产学合作研究中心中心:五年续展第三期
  • 批准号:
    1134721
  • 财政年份:
    2011
  • 资助金额:
    $ 36万
  • 项目类别:
    Continuing Grant
Smart Engines: Fuel Flexible Engine Control using Adaptive Neural Network Critics
智能发动机:使用自适应神经网络批评来实现灵活的发动机控制
  • 批准号:
    0901562
  • 财政年份:
    2009
  • 资助金额:
    $ 36万
  • 项目类别:
    Standard Grant
Katrina SGER: Dynamic Programming-based Health Monitoring and Prognostics for Levee and Communication Infrastructures
Katrina SGER:基于动态规划的堤坝和通信基础设施健康监测和预测
  • 批准号:
    0633769
  • 财政年份:
    2006
  • 资助金额:
    $ 36万
  • 项目类别:
    Standard Grant
Robust Adaptive Critic Neural Network Control of a Class of Nonlinear Dynamic Systems
一类非线性动态系统的鲁棒自适应批评神经网络控制
  • 批准号:
    0621924
  • 财政年份:
    2006
  • 资助金额:
    $ 36万
  • 项目类别:
    Standard Grant
Industry/University Cooperative Research Center for Intelligent Maintenance Systems (IMS): FIVE-Year Renewal Proposal
智能维护系统产学合作研究中心(IMS):五年更新提案
  • 批准号:
    0639182
  • 财政年份:
    2006
  • 资助金额:
    $ 36万
  • 项目类别:
    Continuing Grant
Planning Grant: Proposal for Intelligent Maintenance Systems Center Site
规划补助金:智能维护系统中心站点提案
  • 批准号:
    0531580
  • 财政年份:
    2005
  • 资助金额:
    $ 36万
  • 项目类别:
    Standard Grant
Adaptive Neural Network Architectures For Emission Control of Engines (TSE-03G)
用于发动机排放控制的自适应神经网络架构 (TSE-03G)
  • 批准号:
    0327877
  • 财政年份:
    2003
  • 资助金额:
    $ 36万
  • 项目类别:
    Continuing Grant
CAREER: Sensor-Based Adaptive Control and Prognosis of Complex Distributed Systems
职业:复杂分布式系统的基于传感器的自适应控制和预测
  • 批准号:
    0296191
  • 财政年份:
    2001
  • 资助金额:
    $ 36万
  • 项目类别:
    Standard Grant

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